Decision Support Technique Based on Neutrosophic Yager Aggregation Operators: Application in Solar Power Plant Locations—Case Study of Bahawalpur, Pakistan

Abstract

The problem of energy crisis and environmental pollution has been mitigated by the generation and use of solar power; however, the choice of locations for solar power plants is a difficult task because the decision-making process includes political, socio-economic, and environmental aspects. Thus, several adverse consequences have been created by the choice of suboptimal locations. The objective of this paper is to address the integrated qualitative and quantitative multicriteria decision-making framework for the selection of solar power plant locations. Neutrosophic sets (NSs) are the latest extension of the ordinary fuzzy sets. The main characteristic of the neutrosophic sets is satisfying the condition that the sum of the truth, indeterminacy, and falsity grades must be at least zero and at most three. In this research, we establish novel operational laws based on the Yager t-norm and t-conorm under neutrosophic environments (NE). Furthermore, based on these Yager operational laws, we develop a list of novel aggregation operators under NE. In addition, we design an algorithm to tackle the uncertainty to investigating the best solar power plant selection in five potential locations in Pakistan. A numerical example of solar power plant location problem is considered to show the supremacy and effectiveness of the proposed study. Also, a detailed comparison is constructed to evaluate the performance and validity of the established technique.

Multiattribute Decision-Making Method with Intuitionistic Fuzzy Archimedean Bonferroni Means

“…To compensate for the deficiency, Atanassov [2][3][4] presented the intuitionistic fuzzy sets (IFSs). In IFSs, considering both membership degree and nonmembership degree, the data information is displayed in 2-tuples [5][6][7][8][9][10][11][12]. e objective of the MADM problem is to select the most acceptable solution from a group of options with the decision makers' (DMs) preference information.…”

The Theoretical Framework on Approximations of Neutrosophic Numbers and its Application

“…we obtain the value and ambiguity of A GN HN N A , respectively as, 38]). The score function of a SVNS(N ) is defined as S(S) = θ(x)−ι(x)−φ(x).…”

“…The added dimension allows better representation where the boundary between membership and non-membership is poorly defined. Similarly, different neutrosophic numbers [ [28], [29], [30], [31], [32], [33]], [34], [35], [36], [37], [38]] were developed to approach MCDM problems systematically. Various arithmetic operations are required to deal with decision-making problems systematically.…”

Decision Aid Algorithm for Kidney Transplants Under Disc Spherical Fuzzy Sets With Distinctive Radii Information

“…The associate editor coordinating the review of this manuscript and approving it for publication was Junhua Li . power plant selection [4], urinary diseases and other medical problems [5], solar power plant [6] and many more. This paper aims to establish a new concept called the circular spherical fuzzy set, which extends the existing fuzzy set theory, and to demonstrate its applicability in a case study on kidney transplant selection.…”