Kattur Soundarapandian Ravichandran

• PhD
• Registrar at Rajiv Gandhi National Institute of Youth Development

Cloud computing has emerged as a transformative technology in the healthcare industry, but selecting the most suitable CV (“cloud vendor”) remains a complex task. This research presents a decision framework for CV selection in the healthcare industry, addressing the challenges of uncertainty, expert hesitation, and conflicting criteria. The propose...

Health 4.0 is gaining significant attention globally to support better treatment and care for people. Digital technologies such as the IoMT “(”Internet of Medical Things“”) and blockchain substantially promote quality health services. Literature shows that embedding blockchain in IoMT is an effective way to attain secure and quality healthcare. Sel...

Assessing the performance of organizations in the near future has been a challenging problem because of the factors of subjective assessment of the uncertainty. To cater to such applications, a novel form of fuzzy entropy is proposed to unify the concepts of fuzzy entropy and the conventional Shannon’s entropy. The proposed entropy provides a direc...

Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process of RESs evaluation, several aspects like environmental, economic, social, and technical requirements play an important role. In addition, diverse factors...

With growing hesitation in human perception, hesitant fuzzy set, an important extension of fuzzy set, has gained much attention from the research community. The concept of HFS gives decision makers the ability to provide multiple preferences for the same instance. However, the chance of these preferences occurring is assumed to be equal, which is u...

With the proliferation in demand for navigation systems for reconnaissance, surveillance, and other day-to-day activities, the development of efficient and robust path planning algorithm is an open challenge. The uncertain and dynamic nature of the real-time scenario imposes a challenge for the autonomous systems to navigate in the environment, avo...

The intelligent healthcare management is of great concern to mobilize the enthusiasm of individuals and groups, and effectively use limited resources to achieve maximum health improvement by AI technology. When considering the intelligent healthcare management evaluation, the primary issues involve many uncertainties. Interval-valued fuzzy soft set...

Customers’ pressure, social responsibility, and government regulations have motivated the enterprises to consider the reverse logistics (RL) in their operations. Recently, companies frequently outsource their RL practices to third-party reverse logistics providers (3PRLPs) to concentrate on their primary concern and diminish costs. However, to sele...

With massive growth in decision-making theory, representation of preference information plays an indispensable role. To rationally handle uncertainty, scholars presented different ideas of which hesitant fuzzy linguistic term set (HFLTS) is a good choice to represent hesitancy in decision makers’ (DMs) preferences. The challenge with HFLTS is that...

Group decision-making (GDM) is a complex process. The diversity, discrimination, and inevitable uncertainty due to human intervention characterize such problems that add to this complexity. To circumvent this challenge, there is an urge for an appropriate knowledge representation and decision-making approaches. The present paper is concerned with a...

The whole world is presently under threat from Coronavirus Disease 2019 (COVID-19), a new disease spread by a virus of the corona family, called a novel coronavirus. To date, the cases due to this disease are increasing exponentially, but there is no vaccine of COVID-19 available commercially. However, several antiviral therapies are used to treat...

This paper focuses on an exciting and essential problem in software companies. The software life cycle includes testing software, which is often time-consuming, and is a critical phase in the software development process. To reduce time spent on testing and to maintain software quality, the idea of a systematic selection of test cases is needed. At...

Suitable management and treatment of healthcare waste (HCW) have become a key issue due to its potential risk to human health and the environment, predominantly in emerging nations. The selection of an optimal HCW treatment (HCWT) option is a complicated multicriteria decision-making (MCDM) problem that includes several incompatible qualitative and...

Double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is one of the successful extensions of the hesitant fuzzy linguistic term set used for describing the uncertain information in a more prominent manner for solving the group decision-making problems. In DHHFLTS, the membership functions are represented in terms of linguistic membership de...

This paper proposes an integrated decision-making framework for the systematic selection of a renewable energy source (RES) from a set of RESs based on sustainability attributes. A real case study of RES selection in Karnataka, India, using the framework is demonstrated, and the results are compared with state-of-the-art methods. The main reason fo...

As a powerful generalization to intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide wider space for preference elicitation. Based on the literature analysis on q-ROFS, a comprehensive decision framework for promoting rational decision-making is lack...

This paper presents a new extension of the hesitant fuzzy linguistic term set (HFLTS) called intuitionistic fuzzy confidence-based HFLTS that associates an intuitionistic fuzzy value (IFV) with each linguistic term. The resulting term set is termed as intuitionistic fuzzy confidence hesitant fuzzy linguistic term set (IFCHFLTS). The previous studie...

In recent years, the assessment of desirable renewable energy alternative has been an extremely important concern that could change the environment and economic growth. To tackle the circumstances, some authors have paid attention to selecting the desirable renewable energy option by employing the decision-making assessment and linguistic term sets...

This paper presents a new decision-making framework called cloud vendor selector (CVS) for effective selection of cloud vendors by mitigating the challenge of unreasonable criteria weight assignment and improper management of uncertainty. The CVS comprises of two stages where, in the first stage, decision-makers’ intuitionistic fuzzy-valued prefere...

Personnel selection is a challenging problem for any organization. The success of a project is determined by the human resources that handle the project. To make better personnel selections, researchers have adopted multi-criteria decision-making (MCDM) approaches. Among these, fuzzy-based MCDM methods are most frequently used, as they handle vague...

With a view of generalizing intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-ROFS) was developed. The q-ROFS mitigates the limitation of IFS in terms of data representation and provides a more flexible environment for decision makers (DMs) to easily express their preference and non-preference values. Motivated by the power of q-ROFS, i...

With the development of many autonomous systems, the need for efficient and robust path planners are increasing every day. Inspired by the intelligence of the heuristic, a normalized rank-based A* algorithm has been proposed in this paper to find the optimal path between a start and destination point on a classified image. The input image is classi...

Semantic segmentation in remote sensing images is a very challenging task. Each pixel in a remote sensing image has a semantic meaning to it and automatic annotation of each pixel remains as an open challenge for the research community due to its high spatial resolution. To address this issue deep learning based encoder-decoder architectures like S...

Systematic Regression Testing is essential for maintaining software quality, but the cost of regression testing is high. Test case prioritization (TCP) is a widely used approach to reduce this cost. Many researchers have proposed regression test case prioritization techniques, and clustering is one of the popular methods for prioritization. The tas...

The pharmaceutical education has been gaining more and more popularity in the past one and half decades. The pharma people are focusing on Remote Education for students. The medical images and reports pertaining to each individual should be stored in the database for any future references. Medical images generally occupy substantial amount of space...

As a powerful extension to fuzzy set, hesitant fuzzy set (HFS) attracted many scholars in the recent times. The HFS had the ability to accept multiple membership values for a specific instance, which helped in handling uncertainty to a certain extent. However, the previous studies on the hesitant fuzzy theory consider only single occurring probabil...

As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation. Previous studies on q-ROFS indicate that there is an urge for a decision framework which can make use of the available information in a proper manner for making...

This paper focuses on proposing a newdecision framework under probabilistic linguistic term set (PLTS) for rational decision making. The PLTS concept is a generalization of hesitant fuzzy linguistic term set (HFLTS) which overcomes the limitation of HFLTS by associating occurring probability to each linguistic term. Initially, a new aggregation ope...

As a generalization to hesitant fuzzy linguistic term set (HFLTS), double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) is presented which circumvents the weakness of HFLTS in representing complex linguistic terms. DHHFLTS has two linguistic hierarchies with the second hierarchy supplementing the primary which enables decision-makers (DMs)...

Medical images produce a digital form of human body pictures. Most of the medical images contain large volumes of image data that is not used for further analysis. There exists a need to compress these images for storage issues and to produce a high-quality image. This paper discusses an image compression using Back Propagation Neural network (BPN)...

With trending competition in decision-making process, linguistic decision-making is gaining attractive attention. Previous studies on linguistic decision-making have neglected the occurring probability (relative importance) of each linguistic term which causes unreasonable ranking of objects. Further, decision-makers’ (DMs) often face difficulties...

The paper proposes a classification algorithm based on support tensor machines which finds the maximum margin between the tensor spaces. The proposed algorithm has been deployed to classify erythemato-squamous diseases (ESDs) with the help of its features. Features are derived from the skin lesion images of ESDs, and it has been represented as seco...

Supply chain management (SCM) is an attractive area for research which has seen tremendous growth in the past decades. From the literature we observe that, supplier outsourcing (SO) is a highly explored research field in SCM which lacks significant scientific contribution. The major concern in SO is the decision makers’ (DMs) viewpoint which are of...

Introduction: The World Health Organization (WHO) has been asserting the importance of health care in today's world. The objective of this research is to find out the type of medication that needs to be provided to the people at early stages to prevent behavioural risk factors. The health department of United States has a great vision to improve t...

This paper presents a new decision-making framework called cloud vendor selector (CVS) for effective selection of cloud vendors by mitigating the challenge of unreasonable criteria weight assignment and improper management of uncertainty. The CVS comprises of two stages where, in the first stage, decision-makers’ intuitionistic fuzzy-valued prefere...

With fast-growing interest in sustainable healthcare management, proper selection and evaluation of hospitals become highly essential. Generally, experts/decision-makers (DMs) prefer qualitative information for rating objects. Motivated by this idea, in this paper, a linguistic hesitant fuzzy set (LHFS) is adopted for elicitation of preference info...

Social behaviors are an integral part of team building. In this context, we propose a novel classification model that chooses an optimal classifier from the pool of classifiers for predicting the overall performance (OP). Secondly, the chosen classifier is used to investigate the impact of trust and personality on OP. To achieve these goals a pilot...

This paper presents rule based fuzzy logic controller applied to matrix converter fed induction motor. Matrix converter theory is discussed and the simulation model is designed. The output voltage and input current waveforms are presented. Induction motor is modeled in d-q frame and speed control is achieved by fuzzy logic controller and PI control...

The world health organization report says the immunity deficiency is the biggest problem in the all over the world. Immune system can be improved through many fruits, especially grape is inevitable fruit that provides high neutrinos. The grape contains phytonutrients, Phenols and Poly phenols in rich amount. It is used for constipation, indigestion...

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. Cancer has generally an abnormal cell that grows and invade healthy cells in the body. Breast cancer occurs when malignant tumors develop in the breast. Early detection of the breast cancer ca...

This paper proposes a new scientific decision framework (SDF) under interval valued intuitionistic fuzzy (IVIF) environment for supplier selection (SS). The framework consists of two phases, where, in the first phase, criteria weights are estimated in a sensible manner using newly proposed IVIF based statistical variance (SV) method and, in the sec...

Diabetic mellitus is a chronic disease caused by hyperglycemia which should be treated with high care and medications. The objective of this work is to identify and classify the severity of the diabetic disease using the training data set. This is caused due to the defect in insulin secretion that may affect several organs in the body. Blood pressu...

This paper presents a new two-tier decision making framework with linguistic preferences for scientific decision making. The major reason for adopting linguistic preference is to ease the process of rating of alternatives by allowing decision makers (DMs) to strongly emphasize their opinion on each alternative. In the first tier, aggregation is don...

The autors study to find out reasons for suicide using Overlap Block Neutrosophic Cognitive Maps (COBNCMs) defined by Florentin Smarandache andW. B. Vasantha Kandasamy.

Human effort is an integral part of any organization. The success of the project is directly influenced by the candidates involved in the project. Due to the constraint of time and cost, selecting the right candidate for the task is a key factor to be investigated. Researchers have proposed different optimization model for achieving the task. But,...

In the field of robotics, before the conception of any approach to solve robot path planning, it would be the procedure to derive a model for the problem and solution theoretically, then going for simulations to verify the derived model and then implemented and validated in the real time applications, by taking into account many real time factors....

Genetic Algorithm is experimented in various fields of engineering with different variations in the phases of implementation depending on the application to improve the efficiency which is tradeoff between the time and accuracy. In this paper, specifically to improve the performance of the robot path planning algorithm using genetic algorithm, the...

In this paper, Principal Component Analysis (PCA) with Set Partitioning in Hierarchical Trees (SPIHT) propounds to accomplish an image compression. A lossy technique is introduced through the PCA which is followed by SPIHT to enhance the compression performance. The Peak Signal to Noise Ratio (PSNR) value of the reconstructed image acquired from th...

This paper presents a survey on Fruit Fly Optimization Algorithm (FOA) and its variance. It is one of the most used swarm optimization algorithms in recent years. Its significant features are investigated in this paper with its applications. When using FOA as a metaheuristic algorithm, its convergence to optimality and it has the effective searchin...

Diabetes Mellitus (DM) is a metabolic disease normally caused by hyperglycemia. This is caused due to defect in insulin secretion and it affects the various organs of the body. Data analytics using supervised learning plays a significant role in predicting the chronic disease. The current research work recommends the amount of treatment, which is v...

A recommender system is a type of system which performs filtering of information and produces useful inferences. In Indian classical music, a raga is a series of swaras (musical notes) in a particular order. Many musicians of Indian classical music follow the practice of transitioning from one raga to another while singing. The source raga and the...

The decision making is both an art and a science. It involves the process of critical and logical thinking by the Decision maker (DM) so as to come to a finite decision on a specific scenario. The main objective of this research work is to develop a novel two way decision model that integrates the two dominant decision making methods namely Analyti...

Software component analysis has been done in the software market for the past two decades. Web interfaces and applications need the expertise services for their day to day transactions. So the software components are the inevitable ingredients in playing the integration role. Quality of service (QoS) is the essential measuring scale for the softwar...

Text mining is vital for knowledge cultivation, keeping this in perspective we have focused on developing a system which uses a full parser for analyzing the text, grammar towards the biomedical arena. We proposed a preprocessor to overcome the shortcomings of full parsing and modules to handle the partial outcome. The developed system, not only ha...

Providing the access to the privacy data in service oriented domain is a complex and an essential task in the domain specific environment. W3C also practices the privacy on the DAAS. The objective of the article is to implement a domain specific privacy aware web service composition, which provides the role based access to the DAAS. Here web servic...

The power of human as a resource for project success is inevitable. In any firm every other resource surrounds the human resource thereby utilizing the resource for its full potential to deliver the right product at the right time. The main objective of this article is to investigate the relationship between communication and project success and to...

In the fast growing world understanding a situation is highly dynamic process. The decisions are to be made in an instantaneous fashion following different stages of risk and ambiguity. Project managers and leaders are forced to make such critical decisions that change the effect of the company. One such critical decision that involves rationalism...

Dermoscopy is a technique used to capture the images of skin, and these images are useful to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer whose severity even leads to death. Earlier detection of melanoma prevents death and the clinicians can treat the patients to increase the chances of survival. Only fe...

Soft-Computing (SC) exemplifies the vague elucidation for almost all computational tasks, but still it is said to be the epitome of various schemas such as Fuzzy Logic (FL), Neural Networks (NN), and Genetic Algorithms (GA) for manipulating data. SC schemas can be combined, which we have termed as Combined Schema. There is a gradual, yet study grow...

Professional education has become very much challenging as it is competitive, research-oriented and result-oriented. The students have to struggle and toil to cope with their academic schedule. As the day to day activities are hectic and tightly scheduled, the students have to balance their academic and personal life, for which emotional stability...

Professional education has become very much challenging as it is competitive, research-oriented and result-oriented. The students have to struggle and toil to cope with their academic schedule. As the day to day activities are hectic and tightly scheduled, the students have to balance their academic and personal life, for which emotional stability...

In software development lifecycle, team formation is playing an indispensable role in developing software application. Standard and ad-hoc principles are available for team formations. Newly adopted key factors are incorporated nowadays for the optimal group selection or team formation. Past records, innovative ideologies and relevant experiences i...

Melanoma is a deadly skin cancer which increases the death rate at a faster rate. In order to bring the death rate under control, melanoma should be detected at its earlier stage. To achieve this, researchers have introduced Computer aided diagnosis and adopted the same. In this technique, Segmentation is found to be one of the important steps. Man...

Image enhancement is considered as one of the most important techniques in image research. The main aim of image enhancement is to enhance the quality and visual appearance of an image, or to provide a better transform representation for future automated image processing. Many images like medical images, satellite, aerial images and also real life...

Image segmentation is an important process in Melanoma diagnosis. It divides the image into segments which provides a better path for extracting features and classifying them accordingly and so far many literatures have explained how the segmentation has been carried out for gray scale images. Though most algorithms have been written for gray scale...

The proposed framework aids in tracking vital data to develop a robust updated system for medical arena. Our work relies on identifying disease-treatment relationship based on symptoms of an individual. The main perspective is to identify the name of the disease with specified symptoms, extract data from the source and fetch the relation between di...

Software testing is playing a paramount role in software development, release and maintenance. Test suite length reduction without compromising on detecting faults improves efficiency. To achieve this, few test cases of the test suite needs to be eliminated. And, it is called as Test Suite Reduction. This scenario occurs mainly due to redundancy in...

Asymmetry, boundary irregularity, color variegation, and diameter are popular clinical guidelines used for early detection of melanoma. Several researchers have proposed and framed methodologies to detect the melanoma using combined and separate features with the help of statistical theory, fuzzy logic, artificial neural networks, and machine learn...

This paper focuses on efficient techniques based on AdaBoost and its hybrid (AdaBoost-SVM) classifiers for an automatic detection of the erythemato-squamous diseases (ESD). The classification of ESD requires an enormous amount of computational effort, as all the features of the diseases have more than 90 % commonality. Some of the approaches report...

In this paper we have proposed scan line method and fuzzy relational method, for quantifying the border asymmetricity for melanoma skin lesions. The procedure for quantifying asymmetricity through scan line method consists of various steps which are image preprocessing, boundary detection, evaluation of the skull region of the boundary, conversion...

This paper illustrates the methodology for melanoma diagnosis, a deadly skin cancer using computer aided image processing techniques. Here, the combination of Median filtering and Karhunen-Loeve transform are used in preprocessing part and also a combination of Active contours and Watershed Transformation algorithms are used in Segmentation process...

Stock market is a place where the companies mobilize money from the people to run their business and in turn benefit people in terms with dividend and profit. Stock market has been an aggregation of both buyers and sellers. As the stock market value increases, the market capital of corresponding firm increases and thus benefiting the investors. Som...

In present competitive world data is everything. Man and machines interact with each other just because of this data governing them. People have subtle time to gather data from the vast spread domain. To overcome such time spares scientists have evolved easy data structures to club data together, which most of us know as Data Set. These data sets h...

The rapid development of internet and technology made internet based virtual electronic shops come true. The moral stuff of online shopping is "Avail anything from anywhere at any time". Online shopping paves a sophisticated way for customers to buy the commodity in less time. It helps the customers to know the feedback about the commodity that mak...

Diseases are growing stronger every now and then coping with the Dalton's theory of Survival of Fittest. To compensate such a drastic growth in vulnerability, medicines are also being well equipped. Scientist and doctors work tirelessly to fix the disease that pop every now and then. One such chronic, life threatening disease is the Cardiac Disease...

In the business environment, different Application Programming Interfaces (APIs) demand services from software components. Each API requires plenty number of services from the software components to accomplish the required tasks. Selecting suitable components for the above said API's is highly inevitable. The Component will function across differen...