Harish Garg

Harish Garg
Thapar Institute of Engineering & Technology, Patiala · School of Mathematics

PhD

About

415
Publications
92,523
Reads
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17,496
Citations
Citations since 2017
341 Research Items
16842 Citations
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201720182019202020212022202301,0002,0003,0004,000
Introduction
Dr. Harish Garg associated with the School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University) Patiala. His primary research interest is soft computing technique, multi-criteria decision-making; Aggregation operators; reliability theory, fuzzy and intuitionistic fuzzy set theories. He has published over 390 articles and google citation is 16240+
Additional affiliations
July 2021 - present
Thapar Institute of Engineering and Technology Patiala
Position
  • Professor (Associate)
July 2013 - June 2021
Thapar Institute of Engineering and Technology, Patiala
Position
  • Professor (Assistant)
January 2009 - July 2013
Indian Institute of Technology Roorkee
Position
  • PhD Student
Education
January 2009 - July 2013
July 2006 - May 2008
Punjabi University, Patiala
Field of study
  • Mathematics

Publications

Publications (415)
Article
The main objective of this paper is to present a hybrid technique named as a PSO-GA for solving the constrained optimization problems. In this algorithm, particle swarm optimization (PSO) operates in the direction of improving the vector while the genetic algorithm (GA) has been used for modifying the decision vectors using genetic operators. The b...
Article
The aim of the paper is to introduce a novel concept of connection number‐based q ‐rung orthopair fuzzy set (CN‐ q ‐ROFS) and thus to develop a method for solving the multiattribute group decision‐making (MAGDM) problem. The q ‐rung orthopair fuzzy set ( q ‐ROFS) has outstanding characteristics to deal with the uncertain information, while the conn...
Article
This paper aspires to present single and group decision‐making methods based on complex intuitionistic fuzzy (CIF) preference relations (CIFPRs). The presented work is divided into three folds. The first fold is that the concept of CIFPRs is introduced in this study in which the pairwise comparison values are represented using CIF numbers which hav...
Article
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This paper aims to present a novel multiple attribute group decision-making process under the intuitionistic multiplicative preference set environment. In it, Saaty’s 1/9-9 scale is used to express the imprecise information which is asymmetrical distribution about 1. To achieve it, the present work is divided into three folds. First, a concept of c...
Article
Intuitionistic fuzzy set (IFS) is one of the most robust and trustworthy tools for portraying the imprecise information with the help of the membership degrees. Similarity measure, one of the information measures, plays an important role in treating imperfect and ambiguous information to reach the final decision by determining the degree of similar...
Article
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to predict the capacity of the strengthened (FRP/FRCM) reinforced concrete elements without considering the bond strength. Therefore, the concrete substrate to Fib...
Article
The theory of SS t-norm and t-conorm was derived by Schweizer and Sklar in 1960 by involving a parameter Γ¯¯, which are more flexible and valuable to manage awkward and vague data. with the help of parameter Γ¯¯=-1,1, we can easily derive the information of Hamacher and Lukasiewicz t-norms. Moreover, a prioritized aggregation operators (PAOs) are a...
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Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability to extract meaning from complex data to find patterns and detect trends that are too convoluted for the human brain. This paper analyzes the artificial neural network impact on different computat...
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It is imperative to comprehensively evaluate the function, cost, performance and other indices when purchasing a hypertension follow-up (HFU) system for community hospitals. To select the best software product from multiple alternatives, in this paper, we develop a novel integrated group decision-making (GDM) method for the quality evaluation of th...
Article
Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique ability to extract meaning from complex data to find patterns and detect trends that are too convoluted for the human brain. This paper analyzes the artificial neural network impact on different computat...
Article
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Assessment specialists (experts) are sometimes expected to provide two types of information: knowledge of rating domains and the performance of rating objects (called confidence levels). Unfortunately, the results of previous information aggregation studies cannot be properly used to combine the two categories of data covered above. Additionally, a...
Article
The paper aims to provide a technical framework for the enactment of procedures for the production management of large-scale industry. During production, the inspection process aids in the identification of high-quality and scrapped items. Furthermore, the deterioration of perishable products and machine breakdowns during production run time compli...
Article
Full-text available
The paper aims to provide a technical framework for the enactment of procedures for the production management of large-scale industry. During production, the inspection process aids in the identification of high-quality and scrapped items. Furthermore, the deterioration of perishable products and machine breakdowns during production run time compli...
Article
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Dataless text classification, i.e., a new paradigm of weakly supervised learning, refers to the task of learning with unlabeled documents and a few predefined representative words of categories, known as seed words. The recent generative dataless methods construct document-specific category priors by using seed word occurrences only; however, such...
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The purpose of this research is to investigate a novel three-stage flow shop scheduling problem with an ambiguous processing time. The uncertain information is characterized by Pentagonal fuzzy numbers. To solve the problem, in this paper, two different strategies are proposed; one relies on the idea of a ranking function, and the other on the clos...
Article
A spherical fuzzy set is one of the reliable tools to handle the uncertainties in the data with the help of the three membership degrees: Positive, neutral, and negative. Under this environment, the paper aims to present a novel decision-making algorithm named as MCDM-TAOV with some novel distance measures using matrix norms. In the literature, sev...
Article
Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity, facilitate decision-making, and generate new business opportunities. They have faced many difficulties while dealing with imprecise and vague information, such as decision-making issues. The soft se...
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Intuitionistic fuzzy sets, characterized by membership degree $$\mu $$ μ , non-membership degree $$\upsilon $$ υ and hesitation degree $$\pi $$ π , are a meaningful extension of fuzzy set. Inequalities on intuitionistic fuzzy sets/values are very important in solving real problems. In this paper, some inequalities on intuitionistic fuzzy sets are d...
Article
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Redundancy allocation problem (RAP) has attracted many researchers in recent years as it is very important aspect in the field of reliability and system engineering. It plays an important role in high-tech industries. Present paper conducts a comprehensive literature review to classify, analyze and intercept the existing studies related to the RAP...
Article
Picture fuzzy set (PFS), a generalization of the Atanassov-intuitionistic fuzzy set, is one of the most trustworthy tool to handle the uncertainties in the data during the decision-making process. The objective of this paper is to present some different kinds of the point operators for the PFS. The key feature of the presented point operators is to...
Article
Brain cancer is one of the most deadly cancers, with a very low survival rate. By understanding the factors that lead to cancer spreading, practitioners can concentrate their efforts on providing the most effective treatment, and they can modify the treatment plan as necessary. Also, knowing the likelihood of a patient’s survival over a specified t...
Article
With the implementation and steady progress of the Belt and Road (B&R) initiative, China’s investment in countries along the B&R has maintained a high growth trend. Generally speaking, investment problems are often accompanied by high risk and uncertainty, and how to make the suitable investment decision is a difficult issue. This paper investigate...
Article
The paper aims to introduce a model of multiple criteria decision making to identify the reasons that cause the spread of the monkeypox virus. These days, this virus is spread widely all across the globe. To study this, a hybrid model named as trapezoidal fuzzy full consistency method (FUCOM)-AHP is proposed by taking the benefits of the trapezoida...
Article
Hamy mean operator is the modified shape of the averaging and geometric aggregation operators, used for evaluation of the collection of finite numbers of attributes into a singleton set. Hamy mean operator is massively valuable and proficient principle to operate awkward and problematic information. In this analysis, we diagnosed the theory of Hamy...
Article
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In multi-attribute decision-making system, decision-makers have to face two kinds of situations: (i) the opted parameters are likely to be classified into their respective parametric-valued sub-collections and (ii) the acceptance degree for approximate opinions of decision-makers is required to be assessed by possibility setting. The literature rel...
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The coronavirus disease (COVID-19) pandemic forced healthcare systems to quickly modify to swapping healthcare essentials. The emergency department (ED) decision-making condition is complex and particularly unstable order for care in a stated period conducts decision-makers to attempt to alter assets to touch the demand. ED managers are generally e...
Article
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Because of its importance and numerous applications, the selection of the best supplier from a pool of accessible suppliers is gaining importance across the world. To reduce the cost of supply chain and to improve the quality of the products, selection of a relevant supplier has become one of the crucial decisions. The objective of this study is to...
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This paper intends to introduce mathematical tools for aggregation of the generalized hesitant fuzzy numbers in order to increase the use of them in the real world. The proposed operators, are based on general form of t-norm and t-conorm functions, enable us to do some mathematical computations and aggregate the given generalized hesitant fuzzy num...
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The Pythagorean fuzzy set is an extension of the intuitionistic fuzzy set used to handle uncertain circumstances in various decisions making problems. Group theory is a mathematical technique for dealing with problems of symmetry. This study deals with Pythagorean fuzzy group theory. In this article, we characterize the notion of a Pythagorean fuzz...
Article
With the help of Internet technology, digital reform of the medical system has gradually sprung up and begun to reconstruct the medical and health industry chain and service model, which has brought great change to the medical industry. At present, there are many digitalization solutions of medical system on the market. However, there are many diff...
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The aim of this study is to introduce an innovative concept of T-spherical fuzzy matrix, which is a hybrid structure of fuzzy matrix and T-spherical fuzzy set. This article introduces the square T-spherical fuzzy matrix and constant T-spherical fuzzy matrix and discusses related properties. Determinant and the adjoint of a square T-spherical fuzzy...
Article
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Pythagorean fuzzy set (PFS) is a broadening of intuitionistic fuzzy set that can represent the situations where the sum of membership and the non-membership values exceeds one. Adding parameterization to PFS, we obtain a structure named as Pythagorean fuzzy soft set (PFSS). It has a higher capacity to deal with vagueness as it captures both the str...
Article
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The regression model is generally utilized in several fields of study because of its applications. Regression is an extremely incredible approach; it builds up a connection between dependent and independent variables. We have addressed a powerful computational model by utilizing dengue information joined with fuzzy multiple linear regression. Infor...
Article
In the process of decision-making, uncertain information is always challenging to deal with. T-spherical fuzzy set (TSFS) operates vagueness of data by analysing three independent functions, namely membership, non-membership, and abstinence function. The TSFS provides us robust scheme with parameter \(q\ge 1\) to handle the countless opportunities....
Chapter
The process carried out for the selection of suppliers has been considered a critical activity within companies to maintain high competitiveness in the market. Likewise, a variety of factors that belong to the supply chain must be considered. In this way, to select a good supplier has become more complex related to different criteria involved. In t...
Article
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Pythagorean fuzzy sets have a lot of applications in the field of engineering and scientific problems. Also, besides, the power averaging (PA) operator can reduce the influence of evaluating extreme data from some bias experts. Dombi operator has flexibility in working on parameter evaluation. Here, Dombi operations combined with PA operator are us...
Article
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The cubic q-rung orthopair fuzzy set (Cq-ROFS) is a basic simplification of several fuzzy notions, including fuzzy set (FS), interval valued FS (INVFS), intuitionistic FS (INTFS), q-rung orthopair FS (q-ROFS), and INV q-rung orthopair FS (INVq-ROFS). By the degrees of INVq-ROFS and q-ROFS, Cq-ROFS exposes fuzzy judgement, and this is one of the adv...
Article
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The main objective of this paper is to present an improved neural network algorithm (INNA) for solving the reliability-redundancy allocation problem (RRAP) with nonlinear resource constraints. In this RRAP, both the component reliability and the redundancy allocation are to be considered simultaneously. Neural network algorithm (NNA) is one of the...
Article
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The objective of this paper is to present a novel hybrid algorithm LSMA-TLBO for solving the numerical and engineering design optimization problems. The proposed algorithm utilizes the features of Slime Mould Algorithm (SMA) and the Teaching–Learning Based Optimization (TLBO) to balance the exploitation and exploration ability. In addition, a lévy...
Article
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Evaluating pharmaceutical enterprises with sustainable and high-quality development ability (SHQDA) can not only provide strategies for the pharmaceutical management department in formulating enterprise development plans, but also provide suggestions and guidance for enterprises to enhance their core competitiveness. Nevertheless, the prior researc...
Chapter
Dealing with uncertain and incomplete information is a challenging task and several fuzzy frameworks have been established.. T-spherical fuzzy set (TSFS) is one of the freshly established models that associate human opinion with a membership grade (MG), abstinence grade (AG), and non-membership grade (NMG). Dombi aggregation operators (DAOs) are wi...
Article
In this article, a new fully fuzzy approach is developed for the evaluation based on distance from average solution (EDAS) for multi-criteria decision-making (MCDM) using spherical fuzzy sets (SFSs). The proposed approach avoids the current limitations and drawbacks of distance-based methods in general and the EDAS method in particular using spheri...
Article
COVID-19 is a respiratory infection caused by a coronavirus that spreads from person to person. In the present situation, the COVID-19 pandemic is a swiftly rising phase. Now the time is the second wave ending phase of coronavirus and the third wave coming phase of coronavirus in India. The pandemic situation is moving forward all over India. Nowad...
Article
Traffic management methods aim to increase the infrastructure’s capacity to lower congestion levels. Using vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and vehicle-to-everything (V2X) connectivity technologies, connected autonomous vehicles (CAVs) have the potential to operate as actuators for traffic control. In this study, a CAV-bas...
Article
Purpose Single-valued neutrosophic sets (SVNSs) are efficient models to address the complexity issues potentially with three components, namely indeterminacy, truthness and falsity. Taking advantage of SVNSs, this paper introduces some new aggregation operators (AOs) for information fusion of single-valued neutrosophic numbers (SVNNs) to meet multi...
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This paper describes a novel multi-attribute group decision-making (MAGDM) algorithm based on complex intuitionistic fuzzy values (CIFVs). The present work is divided into three parts. In the first part, the uncertainties in the data are expressed in CIFVs with two membership degrees over the unit disc of the complex plane. The second part states s...
Article
The expected utility theory and the arithmetic average method have been widely adopted for the cross-efficiency strategy formulation and cross-efficiencies aggregation. However, traditional cross-efficiency methods often fail to consider the decision maker’s (DM’s) risk attitude and neglect the consensus among decision-making units (DMUs) in the cr...
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This paper describes a study of picture fuzzy topological spaces. We prove some basic results related to picture fuzzy sets together with the introduction of new notions such as the rank, picture fuzzy base and picture fuzzy sub-base of picture fuzzy topological spaces. With the help of these notions, we present a method to design picture fuzzy top...
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For continuous growth and for sustaining the competitiveness of a company, product developers spend most of their time making crucial decisions to address a great variety of unpredictable and uncontrollable information. Several mathematical approaches have already been adopted to aid developers in selecting the best product concept for meeting cust...
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Fuzzy hybrid models are strong mathematical tools to address vague and uncertain information in real‐life circumstances. The aim of this article is to introduce a new fuzzy hybrid model named as of q‐rung orthopair m‐polar fuzzy soft set (q‐RO‐m‐PFSS) as a robust fusion of soft set (SS), m‐polar fuzzy set (m‐PFS) and q‐rung orthopair fuzzy set (q‐R...
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Decision-making is one of the most crucial processes to find the best optimal among the distinct attributes in an uncertain environment. However, considering more than one attribute simultaneously during the process is well handled by the Bonferroni mean operator. In this paper, we present a decision-making algorithm to solve the multi-attribute de...
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This paper explores the multi‐item vendor's inventory (VI) model in which the vendor replenishes the products from various suppliers and satisfies the retailers' demand. Different types of products scrutinize this model under two cases. The first case considers the products are replenished in bulk and packed in small quantities by the vendor and se...
Article
Purulia district is a drought-prone area in West Bengal, India. Naturally, the farmers of the Purulia district could not plant the crops due to the absence of water resources. Water resource management (WRM) has the potential mechanism to address the available water resources. This paper developed a multi-criterion water resource management techniq...
Article
[Purpose]: The paper aims to introduce a novel concept to solve the bi-level multi-criteria nonlinear fractional programming (BL-MCNFP) problems. Bi-level programming problem (BLPP) is rigorously flourished and studied by several researchers, which deals with decentralized decisions by comprising a sequence of two optimization problems, namely uppe...
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The Fermatean fuzzy set (FFS) is a momentous generalization of a intuitionistic fuzzy set and a Pythagorean fuzzy set that can more accurately portray the complex vague information of elements and has stronger expert flexibility during decision analysis. The Combined Compromise Solution (CoCoSo) approach is a powerful decision-making technique to c...
Poster
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The Journal of Computational and Cognitive Engineering (JCCE) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles on the recent trends in computational and cognitive engineering. The goal of the journal is to provide a new platform for the dissemination of the research and current practices in the emer...
Poster
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The specific focus of this book will be on the application of deep learning in any area of healthcare, including clinical trials, telemedicine, health records management, etc. For the book, we are seeking articles that focus on the intersection of deep learning, healthcare and computer engineering approaches. This book shall help clarify understand...
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Dimensional Analysis (DA) is a mathematical method that manipulates the data to be analyzed in a homogenized manner. Likewise, linear regression is a potent method for analyzing data in diverse fields. At the same time, data visualization has gained attention in tendency study. In addition, linear regression is an important topic to address predict...
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These days, the appraisal of the COVID-19 vulnerability has become a difficult errand for the whole world. The COVID-19 administration dynamic issue frequently includes numerous elective arrangements clashing standards. In this paper, we present a multi-criteria decision-making (MCDM) procedure based on the fuzzy VIKOR method to survey the COVID-19...
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e objective of this paper is to present a novel idea about the continuous possibilistic cooperative static game (Poss-CCSTG). e proposed Poss-CCSTG is a continuous cooperative static game (CCSTG) in which parameter associated with the cost functions of the players involves the possibility measures. e considered Poss-CCSTG is converted into the cris...
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Polya’s plausible reasoning methods are crucial not only in discovery of mathematics results, modeling methods, and data processing methods but also in many practical problems’ solving. This paper exemplifies how to use Polya’s plausible reasoning methods to generalize the popularized notion of 2-connectedness of graphs to a more universal notion o...
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The spherical fuzzy soft set is a generalized soft set model, which is more realistic, practical, and accurate. It is an extended version of existing fuzzy soft set models that can be used to describe imprecise data in real-world scenarios. The paper seeks to introduce the new concept of spherical fuzzy soft topology defined on spherical fuzzy soft...
Article
Heronian mean (HM) operators are powerful aggregation operators that consider the interrelationship of two input arguments. HM operators have been utilized to solve many multi-criteria decision-making (MCDM) problems under different environments. However, the existing HM does not take into consideration the overall interaction of input arguments. T...
Article
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The paper aims to present a container inventory model by utilizing strategies to avoid the scarcity of reusable containers. The Container Management Organization (CMO) seeks to provide the reusable empty container to the consignees without scarcity under minimum cost. However, due to the imbalanced flow of the containers, the CMO faces shortages of...
Article
T-spherical fuzzy set (TSFS) is a generalized version of the spherical fuzzy set (SFS) and picture fuzzy set (PFS) to manage awkward and unpredictable information in realistic decision issues. TSFS deals with yes, abstinence, no, and refusal type of fuzzy information. This manuscript aims to observe the drawbacks of some existing dice similarity me...
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The main objective of this paper is to present an integrated approach to evaluate the level of satisfaction of borrowers with the products and services of microfinance institutions (MFI) at different criterion levels. For this, the study adopts the concept of FCEM (Fuzzy Comprehensive Evaluation Method) in concurrence with the AHP (Analytical Hiera...
Article
The paper aims at introducing novel distance measures for the intuitionistic fuzzy set (IFS) to discuss the decision-making problems. The current work exploits four different notions of centers, namely centroid, orthocenter, circumcenter and incenter of the triangle. First, we mold knowledge embedded in IFSs into isosceles TFN (triangular fuzzy num...
Article
Popularizing green distribution transformers is a viable way to reduce power loss and environmental pollution and improve energy conversion and transmission efficiency, which has become the trend of power equipment manufacturing and market demand. However, due to conflicting multi-criteria and goals and factors, higher standards are required for gr...
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Financial development means some improvements on providing the information about investment possibilities in a region or country. In this study, a new perspective of financial development is considered which is called the multi‐criteria global financial development‐ranking problem. In this problem, some countries from the Middle East are considered...
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Image processing is a technique of scrutinizing an image and extricating important information. Indecisive situations are generally undergone when the picture processes with profuse noise. Neutrosophic set (NS), a part of neutrosophy theory, studies the scope of neutralities and is essential to reasoning with incomplete and uncertain information. H...
Article
The concepts of relations and information measures have importance whenever we deal with medical diagnosis problems. The aim of this paper is to investigate the global pandemic COVID-19 scenario using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment. An IVTSF set (IVTSFS) allows describing four aspects...
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Assumption of fuzziness in the vehicle routing problems under extreme conditions is necessary for modelers, because there are usually insufficient objective input data. In extreme situations, the complexity of the description of vehicles’ movement on routes may cause by two poles: the imprecision of movement time and the uncertainty of the possibil...
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The assessment of investment risk for the countries along the route in Belt and Road (B&R) can be deemed as a multiple criteria group decision making (MCGDM) issue since multiple investment options based on diverse criterions are assessment by experts. Pondering that the complexity and uncertainty of the assessment setting and the cognition fuzzine...