A model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information

Abstract

Due to the frequent occurrence of numerous emergency events that have significantly damaged society and the economy, the need for emergency decision-making has been manifest recently. It assumes a controllable function when it is critical to limit property and personal catastrophes and lessen their negative consequences on the natural and social course of events. In emergency decision-making problems, the aggregation method is crucial, especially when there are more competing criteria. Based on these factors, we first introduced some basic concepts about SHFSS, and then we introduced some new aggregation operators such as the spherical hesitant fuzzy soft weighted average, spherical hesitant fuzzy soft ordered weighted average, spherical hesitant fuzzy weighted geometric aggregation, spherical hesitant fuzzy soft ordered weighted geometric aggregation, spherical hesitant fuzzy soft hybrid average, and spherical hesitant fuzzy soft hybrid geometric aggregation operator. The characteristics of these operators are also thoroughly covered. Also, an algorithm is developed within the spherical hesitant fuzzy soft environment. Furthermore, we extend our investigation to the Evaluation based on the Distance from Average Solution method in multiple attribute group decision-making with spherical hesitant fuzzy soft averaging operators. And a numerical illustration for “supply of emergency aid in post-flooding the situation” is given to show the accuracy of the mentioned work. Then a comparison between these operators and the EDAS method is also established in order to further highlight the superiority of the established work.

Decision Support System for Prioritization of Offshore Wind Farm Site by Utilizing Picture Fuzzy Combined Compromise Solution Group Decision Method

“…Afterward, the similarity-based approach is adopted to derive the importance of the experts. By the aid of the PF expert assessment matrices, the averaging assessment matrix is obtained by Equation (24), and then the similarity grade between the averaging assessment matrix and expert matrices are computed by Equation (25). Further, the weight of experts are figured by Equation ( 26), the results are shown as ν 1 = 0.2518, ν 2 = 0.2480, ν 3 = 0.2484, and ν 4 = 0.2519.…”

“…Afterwards, in order to more effectively characterize the uncertain preferences of experts, FS theory was validly extended and obtained uncertain information representation models that can deal with different practical situations, such as intuitionistic FS [13], interval valued intuitionistic FS [14], Pythagorean FS [15], q-rung orthopair FS [16], and spherical FS [17]. The above extensions have been successfully employed in various fields, such as uncertain decision analysis, practical application problem modeling, and so forth [18][19][20][21][22][23][24][25][26]. However, the above extended models based on FS theory only depict the uncertain preferences of experts from the perspectives of membership and nonmembership and cannot effectively depict inconsistent and incomplete information generated in practical problems.…”

Enhanced Industrial Control System of Decision-Making Using Spherical Hesitant Fuzzy Soft Yager Aggregation Information

“…Definition 3.1. [31] Over the universal set R a duo (S, T ) is refereed to as SHFSS, with M ⊆ T, m ∈ M and the mapping S is; S : M → ‫ג‬ defined by:…”

“…Ashraf et al [31] have made notable contributions by introducing the concept of SHFSS, elaborating on its properties, and defining its score and accuracy functions. These developments have highlighted the importance of AOs in the execution of decision-making processes, particularly those based on SFS.…”

Group decision making in the analytic hierarchy process by hesitant fuzzy numbers

“…Also they used HFNs in optimization problems 56 , 57 . Ashraf et al proposed a model for emergency supply management under extended EDAS method and spherical hesitant fuzzy soft aggregation information 58 . Jeon et al proposed an innovative probabilistic hesitant fuzzy elements based on multi-criteria decision-making perspective 59 .…”