S A. Edalatpanah

S A. Edalatpanah
Ayandegan Institute of Higher Education · Department of research center

PhD
People who would like to work with me on the scientific research can contact me via my Whats-App (+989113958681).

About

148
Publications
37,132
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Introduction
I received a Ph.D. degree in applied mathematics from the University of Guilan, Rasht, Iran. I am currently working as the chief of R&D at the Ayandegan Institute of Higher Education, Iran. I am also an academic member of Guilan University and the Islamic Azad University of Iran. My fields of interest are uncertainty, fuzzy mathematics, numerical linear algebra, soft computing, and optimization. I have published over 100 journal and conference proceedings papers in the above research areas.

Publications

Publications (148)
Article
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This paper deals with n -players fuzzy cooperative continuous static games (FCCSGs). The cost function coefficients are characterized by piecewise quadratic fuzzy numbers. One of the best approximate intervals, namely, the inexact interval of the piecewise quadratic fuzzy number is used. Furthermore, we proposed a new methodology based on the weigh...
Article
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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...
Article
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This study aims to characterize and clarify a pentagonal fuzzy continuous static game (PF-CSG) that constraints and cost functions are fuzzy numbers. Pentagonal fuzzy numbers characterize their fuzzy parameters. The α − Pareto optimal solution concept has specified. The decomposition approach has applied to decompose the problem into subproblems ea...
Poster
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Special Issue: Advances in Fuzzy Set Extensions (FSE): Theory, Models, and Applications Deadline: 07 July 2022 Journal indexing: Web of Science Emerging Sources Citation Index (ESCI), Scopus, CLOCKSS, CrossRef, Digital Biography & Library Project (dblp), DOAJ, Google Scholar, OpenAIRE, PubMed Central (PMC). Link: https://www.frontiersin.org/resea...
Article
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In today's world, selecting a suitable, reasonable option is challenging for any decision-maker. Where does this problem arise from? According to the decision-making literature, complexity “multiple criteria and interrelationship among them” and uncertainty “the vagueness of judgments and future uncertainty” have made decision-making one of the mos...
Preprint
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In this paper, Linear Fractional Programming (LFP) problems have been extended to neutrosophic sets (NSs) and the operations and functionality of these laws are studied. Moreover, the new algorithm is based on aggregation ranking function and arithmetic operations of triangular neutrosophic sets (TNSs). Furthermore, for the first time, in this pape...
Article
This article advances the idea of complex q-rung picture fuzzy set (Cq-RPFS), which is especially an augmentation and a generalization of q-rung picture fuzzy sets (q-RPFSs) by the expansion of phase term in the description of q-RPFSs. The presence of phase term widens the scope of Cq-RPFS from a real plane to complex plane of unit disk and depicts...
Experiment Findings
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Poster
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CALL FOR PAPERS: Special Session 14 Smart City with Emerging Technologies http://iccsea.in/cfp.html List of Session Covered Topics • Smart city and infrastructural development • Smart city governance • Renewable Energy & Smart Grids • Smart cities and the integration of information systems • New Technologies for Smart Environment. • Smart cities...
Conference Paper
In the current study, the general fuzzy data envelopment analysis (GFDEA) approach is presented for stock evaluation under data ambiguity and linguistic variables. It should be explained that to propose GFDEA method, data envelopment analysis (DEA), possibilistic programming approach (PPA), general fuzzy measure (GFM), and chance-constrained progra...
Conference Paper
In the present study, a hybrid approach is proposed with the aim of increasing the discriminatory power of data envelopment analysis (DEA) approach in the evaluation process of decision-making units (DMUs). For this purpose, Shannon's entropy technique is used as one of the most widely used methods in the field of multi-criteria decision making (MC...
Article
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In the field of operation research, linear programming (LP) is the most utilized apparatus for genuine application in various scales. In our genuine circumstances, the manager/decision-makers (DM) face problems to get the optimal solutions and it even sometimes becomes impossible. To overcome these limitations, neutrosophic set theory is presented,...
Article
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In this paper, linear programming problem under triangular fuzzy uncertainty has been taken into consideration. Accordingly, here the coefficient matrix of the constraints and coefficients of the objective functions are assumed as crisp. However, decision variables and the right-hand side vector of the constraints are assumed as uncertain. Two new...
Article
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Nowadays, the transportation problem is a multiobjective decision-making problem. It involves deciding to determine the ideal transportation setup that matches the decision maker’s preferences while taking into account competing objectives/criteria such as transportation cost, transportation time, and environmental and social concerns. This study p...
Article
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The q-rung orthopair fuzzy sets dynamically change the range of indication of decision knowledge by adjusting a parameter q from decision makers, where \(q \ge 1\), and outperform the conventional intuitionistic fuzzy sets and Pythagorean fuzzy sets. Linguistic q-rung orthopair fuzzy sets (Lq-ROFSs), a qualitative type of q-rung orthopair fuzzy set...
Article
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Purpose: We formulate a linear fractional programming (LFP) problem in which costs of the objective functions and constraints all are taken to be triangular fuzzy numbers. Methodology: The fuzzy LFP problem is transformed into an equivalent crisp line fractional programming (CLFP) problem by using the centroid ranking function. This proposed method...
Chapter
In this chapter, we present a novel strategy for solving linear programming (LP) problem under Pythagorean fuzzy (PF) and its application in Diet issue. LP is a part of optimization system which manages linear quantities, i.e., either constraints of linear equation type or inequalities type. In any case, when we consider the pragmatic circumstance,...
Preprint
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Cloud computing service models have experienced rapid growth and inefficient resource usage is known as one of the greatest causes of high energy consumption in cloud data centers. Resource allocation in cloud data centers aiming to reduce energy consumption has been conducted using live migration of Virtual Machines (VMs) and their consolidation i...
Article
A Pythagorean fuzzy set is a powerful model for depicting fuzziness and uncertainty. This model is more flexible and practical as compared to an intuitionistic fuzzy model. This research article presents a new model called LR-type fully Pythagorean fuzzy linear programming problem. We consider the notions of LR-type Pythagorean fuzzy number, rankin...
Article
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The objective of this study is to examine the relationship between managerial ability and earnings classification shifting of firms listed in the Tehran Stock Exchange (TSE). The paper consists of a sample of 1,875 firm-year observations after applying systematic elimination sampling method during a period of fifteen years, from 2005 to 2019. This...
Article
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There are several daily life problems where we have to deal with the uncertainties and we are forced to solve the uncertain linear programming models. Certain methods have been presented for dealing with linear programming problems based on fuzzy sets and intuitionistic fuzzy sets which are characterized by membership degree, membership and non-mem...
Conference Paper
Conventional data envelopment analysis (DEA) models cannot deal with negative and uncertain values. Accordingly, the main objective of current study is to present a novel robust data envelopment analysis (RDEA) approach that is capable to be used in the presence of negative values and uncertain data. Notably, to propose RDEA approach, range directi...
Book
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New Plithogenic sub cognitive maps approach with mediating effects of factors in COVID-19 diagnostic model Nivetha Martin; R. Priya; Florentin Smarandache 1-15 A study of maximal and minimal ideals of n-refined neutrosophic rings Mohammad Abobala 16-22 Neutrosophic soft matrices and its application in medical diagnosis Mamoni Dhar 23-32 Neutrosophi...
Article
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Singh et al. [1], for solving the fully neutrosophic linear programming problems stated that the method of Abdel-Basset et al. [2] is scientifically incorrect and suggested a modified version for it. They have constructed their modifications based on different model assumptions which have been discussed in detail in the answer note. The purpose of...
Article
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The postulation of neutrosophic numbers has been analyzed from different angles in this paper. In this current era, our main purpose is to mention Decagonal Neutrosophic numbers. The types of linear and non-linear generalized decagonal neutrosophic numbers play a very critical role in the theory related to uncertainty This approach is helpful in ge...
Article
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This paper presents a new concept in neutrosophic sets (NS) called neutrosophic structured element (NSE). Based on this concept, we define the operational laws, score function, and some aggregation operators of NS. Finally, as an application of this concept, we propose a decision‐making method for a multi‐attribute decision making (MADM) problem un...
Article
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Success in supply begins with the right choice of suppliers and in the long run is directly related to how suppliers are managed, because suppliers have a significant impact on the success or failure of a company. Multi-criteria decisions are approaches that deal with ranking and selecting one or more suppliers from a set of suppliers. Multi-criter...
Article
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Ezzati et al. (A new algorithm to solve fully fuzzy linear programming problems using the MOLP problem. Appl Math Model. 2015;39(12):3183-3193) introduced a lexicographic criterion for ranking triangular fuzzy numbers (TFNs), and proposed a method to solve fully fuzzy linear programming (FFLP) problems based on the lexicographic method of multi-obj...
Article
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The foremost broadly utilized strategy for the valuation of the overall performance of a set of identical decision-making units (DMUs) that use analogous sources to yield related outputs is data envelopment analysis (DEA). However, the witnessed values of the symmetry or asymmetry of different types of information in real-world applications are som...
Article
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One of the paramount mathematical methods to compute the general performance of organizations is data envelopment analysis (DEA). Nevertheless, in some cases, the decision-making units (DMUs) have middle values. Furthermore, the conventional DEA models have been originally formulated solely for crisp data and cannot handle the problems with uncerta...
Article
There are different conditions where SPP play a vital role. However, there are various conditions, where we have to face with uncertain parameters such as variation of cost, time and so on. So to remove this uncertainty, Yang et al. [1] “[Journal of Intelligent & Fuzzy Systems, 32(1), 197-205”] have proposed the fuzzy reliable shortest path problem...
Article
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Recently, Bai et al. [Preconditioned MHSS iteration methods for a class of block two-by-two linear systems with applications to distributed control problems, IMA Journal of Numerical Analysis, 33 (2013), 343-369] introduced and analyzed a preconditioned modified Hermitian and skew-Hermitian splitting (PMHSS) iteration sche for solving a broad class...
Article
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Data Envelopment Analysis is one of the paramount mathematical methods to compute the general performance of organizations, which utilizes similar sources to produce similar outputs. Original DEA schemes involve crisp information of inputs and outputs that may not always be accessible in real-world applications. Nevertheless, in some cases, the val...
Article
In this paper, imprecisely defined linear programming problem under fuzzy uncertainty has taken into consideration for the analysis. Accordingly, in the considered problem, elements of the coefficient matrix of the constraints and coefficients of the objective functions are assumed as crisp. However, decision variables and the right-hand side vecto...
Article
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The fuzzy transportation problem is a very popular, well-known optimization problem in the area of fuzzy set and system. In most of the cases, researchers use type 1 fuzzy set as the cost of the transportation problem. Type 1 fuzzy number is unable to handle the uncertainty due to the description of human perception. Interval type 2 fuzzy set is an...
Article
Image segmentation is one of the fundamental problems in the image processing, which identifies the objects and other structures in the image. One of the widely used methods for image segmentation is image thresholding that can separate pixels based on the specified thresholds. Otsu method calculates the thresholds to divide two or multiple classes...
Preprint
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Article
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In the present paper, for first time, a System of Neutrosophic Linear Equations (SNLE) is investigated based on the embedding approach. To this end, the (,,)-cut is used for transformation of SNLE into a crisp linear system. Furthermore, the existence of a neutrosophic solution to n x n linear system is proved in details and a computational proc...
Article
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Pipelines are undoubtedly the most blue-chip concept in Windows PowerShell (PS). It creates a significant difference between PowerShell and DOS. The working process of the pipeline is based on several inputs and single outputs. It means that the output of one sub-part becomes the input to the other. Pipeline successively refines the data through se...
Article
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Data envelopment analysis (DEA) is one of the best mathematical techniques to compute the overall performance of units with some inputs and outputs. The original DEA methods are developed to tackle the information based on the crisp number but no ability to handle the indeterminacy, impreciseness, vagueness, inconsistent, and incompleteness informa...
Article
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Ductility is a feature which allows a structure to undergo large plastic deformations without any strength loss. Yield dampers are energy dissipation devices which increase the ductility and control the vibration of structures by absorbing earthquake input energy. If a structure is properly designed according to the standard, if a severe earthquake...
Article
This paper aims to propose the new preconditioning approaches for solving linear complementarity problem (LCP). Some years ago, the preconditioned projected iterative methods were presented for the solution of the LCP, and the convergence of these methods has been analyzed. However, most of these methods are not correct, and this is because the com...
Article
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Several methods currently exist for solving fuzzy linear fractional programming problems under nonnegative fuzzy variables. However, due to the limitation of these methods, they cannot be applied for solving fully fuzzy linear fractional programming (FFLFP) problems where all the variables and parameters are fuzzy numbers. So, this paper is plannin...
Article
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Recently, in the paper [Z.G. Huang, L.G. Wang, Z. Xu, J.J. Cui, Some new preconditioned generalized AOR methods for solving weighted linear least squares problems, Computational and Applied Mathematics, 37(2018) 415–438.], Huang et al, by using the generalized accelerated over-relaxation (GAOR) methods, proposed some new preconditioners for solving...
Article
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Distributed discovery service is a main concept in the scalable and dynamic grid environments. In this paper, based on the super-peer technique, we propose a new topology for the grid discovery service. The model is designed in such a way that each super-peer within the cluster has the routing indices (RIs) based on cobweb and uses the hop-count ro...
Article
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This paper aims to propose a new direct algorithm to solve the neutrosophic linear programming where the variables and right-hand side represented with triangular neutrosophic numbers. The effectiveness of the proposed procedure is illustrated through numerical experiments. The extracted results show that the new algorithm is straightforward and co...
Article
Full-text available
Real humankind problems have different sorts of ambiguity in the creation, and amidst them, one of the significant issues in solving the integer linear programming issues. In this commitment, the conception of aggregation of ranking function has been focused on a distinct framework of reference. Here, we build up another framework for neutrosophic...
Article
Full-text available
Real humankind problems have different sorts of ambiguity in the creation, and amidst them, one of the significant issues in solving the integer linear programming issues. In this commitment, the conception of aggregation of ranking function has been focused on a distinct framework of reference. Here, we build up another framework for neutrosophic...
Article
Full-text available
This paper aims to propose a new direct algorithm to solve the neutrosophic linear programming where the variables and right-hand side represented with triangular neutrosophic numbers. The effectiveness of the proposed procedure is illustrated through numerical experiments. The extracted results show that the new algorithm is straightforward and co...
Article
Full-text available
DEA (Data Envelopment Analysis) is a technique for evaluating the relative effectiveness of decision-making units (DMU) with multiple inputs and outputs data based on non-parametric modeling using mathematical programming (including linear programming, multi-parameter programming, stochastic programming, etc.). The classical DEA methods are develop...
Article
Purpose The purpose of this paper is to investigate the effect of steel and carbon fibers on the mechanical properties of light concrete in terms of tension strength, compressive strength and elastic modulus under completely dry and wet conditions. Design/methodology/approach In this study, the lightweight concrete made of Light Expanded Clay Aggr...
Article
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We investigate the modulus-based matrix splitting iteration algorithms for solving the linear complementarity problems (LCPs) and propose a new model to solve it. The structure of the new model is straightforward and can be extended to other issues of type of complementarity. Convergence analysis of the new approach for the symmetric positive defin...
Article
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This paper introduces a simplified presentation of a new computing procedure for solving the fuzzy Pythagorean transportation problem. To design the algorithm, we have described the Pythagorean fuzzy arithmetic and numerical conditions in three different models in Pythagorean fuzzy environment. To achieve our aim, we have first extended the initial...
Article
In this paper, the nonlocal Euler–Bernoulli beam theory is presented to study the primary resonance and chaotic vibration of a curved single-walled carbon nanotube (CSWCNT). The CSWCNT is exposed to axial thermomagnetic and transverse harmonic forces resting on a viscoelastic foundation. A single-mode Galerkin approximation is implemented to transf...
Article
Purpose Modern construction methods have been developed with the goal of reducing construction time as much as possible, which results in some situations during construction and within the first few days after it, when concrete is subjected to exceptionally high loads. The precast concrete, which is the concrete in very early ages, may result in se...
Article
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This paper aims to show that the existing preconditioned Symmetric Successive Overrelaxation (SSOR) approach to solve the linear complementarity problem (LCP) is not valid. To overcome the flaws, we propose an efficient preconditioner called the monomial preconditioner. The convergence behavior of the proposed model is also established. Meanwhile,...
Article
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Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems. Hence, many researchers have proposed uncertain optimization methods, such as approaches using fuzzy and stochastic logics, interval numbers, or uncertain...
Article
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Neutrosophic (NS) set hypothesis gives another way to deal with the vulnerabilities of the shortest path problems (SPP). Several researchers have worked on fuzzy shortest path problem (FSPP) in a fuzzy graph with vulnerability data and completely different applications in real world eventualities. However, the uncertainty related to the inconsisten...
Article
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We have exhibited a novel method for finding the neutrosophic shortest path problem (NSSPP) consid-ering Gaussian valued Neutrosophic number. We have used linear programming approach for finding the NSS-PP for Gaussian valued Neutrosophic number which is as per best of our information, hasn’t been used till date for any other research work. In this...
Article
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In the studies of the dynamic response of carbon nanotubes, the stability, predictable, and unpredictable chaotic vibrations are fundamental characteristics. In this paper, we investigate the chaotic and periodic vibrations of a single-walled carbon nanotube resting on the viscoelastic foundation, based on the nonlocal Euler–Bernoulli beam model. I...
Article
Full-text available
In recent years, there has been a growing interest in neutrosophic theory, and there are several methods for solving various problems under neutrosophic environment. However, a few papers have discussed the Data envelopment analysis (DEA) with neutrosophic sets. So, in this paper, we propose an input-oriented DEA model with simplified neutrosophic...
Article
In this paper, we propose a new model for linear fractional programming problem with absolute value functions. The major contribution of this paper is that transformation of linear fractional programming problem into separate linear programming problems with some theorems and then solution of these problems by popular algorithm. This work also used...
Article
In this paper, we propose a new model for linear fractional programming problem with absolute value functions. The major contribution of this paper is that transformation of linear fractional programming problem into separate linear programming problems with some theorems and then solution of these problems by popular algorithm. This work also used...
Article
Full-text available
In recent years, there has been a growing interest in neutrosophic theory, and there are several methods for solving various problems under neutrosophic environment. However, a few papers have discussed the Data envelopment analysis (DEA) with neutrosophic sets. So, in this paper, we propose an input-oriented DEA model with simplified neutrosophic...
Article
Full-text available
Neutrosophic set theory provides a new tool to handle the uncertainties in shortest path problem (SPP). This paper introduces the SPP from a source node to a destination node on a neutrosophic graph in which a positive neutrosophic number is assigned to each edge as its edge cost. We define this problem as neutrosophic shortest path problem (NSSPP)...
Article
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The objective of this paper is to investigate the coupled effects of interphase and thermal residual stress on the biaxial initial yield surfaces of metal matrix composites using the simplified unit cell micromechanical model. The representative volume element of the composite consists of three phases, including unidirectional silicon carbide (SiC)...
Article
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Milaszewicz, [Milaszewic J.P, Linear Algebra. Appl. 93,1987, 161–170] presented new preconditioner for linear system in order to improve the convergence rates of Jacobi and Gauss–Seidel iterative methods. Li et al.,[Li Y., C., Li, S. Wu, Appl. Math.Comput. 186, 2007, 379–388] applied this preconditioner and provided convergence theorem for modified...
Article
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A three-dimensional micromechanical finite element model is developed to study the viscoelastic behavior of the silica nanoparticle/polyimide nanocomposites. The representative volume element (RVE) of the model consists of three phases including silica nanoparticle, polyimide matrix and interphase which surrounds the nanoparticle. The interphase re...