Publication | Open Access
Strategy selection by using interval type-2 fuzzy mcdm and an application
10
Citations
17
References
2020
Year
EngineeringFuzzy ModelingIndustrial EngineeringFuzzy AhpFuzzy Risk AnalysisOperations ResearchFuzzy Multi-criteria Decision-makingManagementSystems EngineeringLogisticsFuzzy OptimizationDecision TheoryTransportation EngineeringQuantitative ManagementFuzzy LogicFuzzy ComputingFuzzy Topsis MethodsStrategyStrategy SelectionBalanced Score CardFuzzy MathematicsBusiness
Competitive market conditions today are becoming more challenging in every sector. Companies must determine their road maps in terms of short, mid and long-term strategies. The selection of the most suitable strategy by a group of decision makers is a very complicated process. As the same linguistic expression can represent different meanings to different people the fuzzy decision-making process is a good tool to use in group decisions. Various methods and different linguistic terms are used to define fuzzy sets. In recent years, the interval type-2 fuzzy AHP and interval type-2 TOPSIS methods have been introduced in the literature, as well as the type-1 fuzzy AHP and type-1 fuzzy TOPSIS methods. The aim of this study is to present a new model for group decision-making with the Balanced Score Card, fuzzy AHP and fuzzy TOPSIS methods by using interval type-2 fuzzy sets. The proposed model was applied in the strategy selection process of a large-scale public transportation company that operates in Istanbul/Turkey.
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