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.
Highlights
Decision-making (DM) is one of the most common and frequent human activities aimed at selecting the best option with respect to a list of attributes
Ashraf et al [18] highlights the deficiency in the existing operational laws and established novel improved aggregation operators (AgOs) to tackle the uncertainty in complex real-life DM problems under picture fuzzy environment
Single-valued Neutrosophic sets (NSs) is a general extension of intuitionistic fuzzy sets (FSs), picture FS, which is more capable of dealing with incomplete and inconsistent information. erefore, it is widely used in various fields
Summary
Decision-making (DM) is one of the most common and frequent human activities aimed at selecting the best option with respect to a list of attributes. Gundogdu and Kahraman [37] established the generalized methodology based on WASPAS under spherical FSs. Jin et al [38] utilized the logarithmic function to developed the novel SF AgOs under spherical FSs. Shishavan et al [39] established the list of similarity measures to tackle the uncertainty in the form of spherical fuzzy environment. (i) Novel ranking methodology and Yager norm-based novel operational laws for single-valued NSs are proposed (ii) e new Yager averaging/geometric aggregation operators are proposed to aggregate the uncertainties in the form of single-valued NS environment (iii) Decision-making algorithm is proposed to tackle the DM real-world problems (iv) A real-life numerical application about solar power plant location selection problem in Pakistan is discussed to show the applicability of the proposed technique e rest of this article shall be organized as set out below. Let Fh (♭h(x), Ih(x), zh(x)) ∈ SVNN (U)(h ∈ N). en, the weighted geometric AgOs for SFNV(U) is described as follows: SVNWG F1, F2, . . . , Fn Fρ11 ⊗ Fρ22 ⊗ · · · ⊗ Fρnn , n
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