The multiple attribute group decision-making problems with interval-valued intuitionistic fuzzy numbers: A linear programming approach
Maryam Arshi
1
(
Department of mathematics, Islamic Azad University,Najafabad Branch,
)
Abdollah Hadi-Vencheh
2
(
Department of Mathematics,Islamic Azad University, Khorasgan Branch, Isfahan, Iran
)
Adel Aazami
3
(
Department of Global Business and Trade, Institute for Transport and Logistics Management, Vienna University of Economics and Business, Vienna, Austria
)
Tara Hamlehvar
4
(
Department of Industrial & System Engineering, Auburn University, Alabama State, United States
)
الکلمات المفتاحية: Interval-valued intuitionistic fuzzy sets, Multiple attribute group decision-making, Linear programming, Aggregation operator, Variable transformation,
ملخص المقالة :
The objective of this manuscript is to introduce an innovative methodology for addressing multiple attribute group decision-making (MAGDM) problems utilizing interval-valued intuitionistic fuzzy sets (IVIFS). The proposed approach solves the problem using a mathematical programming methodology. In the present investigation, a group decision-making problem characterized by IVIF multiple attributes is conceptualized as a linear programming model and resolved expeditiously. The models that are being proposed have been reformulated into two analogous linear programming (LP) models through the application of a variable transformation and the concept of aggregation operators. The obtained LP models are solvable by common approaches. The principal benefit of the suggested methodology is its facilitation of decision-makers (DM) in identifying an alternative that exhibits optimal performance, and the decision-making process does not rely on DM knowledge. Application of the proposed method is represented in a decision-making problem, and the results are compared with similar methods, proving the compatibility of the proposed method with previous ones. The solid and understandable logic with computational easiness are the main advantages of the proposed method.
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