Novel Similarity Measures for Linguistic Intuitionistic Fuzzy TOPSIS Method for Decision Support System
摘要
This work presents several Linguistic Intuitionistic Fuzzy Similarity Measures (LIFSMs), including linguistic degree, membership, non-membership, and hesitancy degree, for Linguistic Intuitionistic Fuzzy Sets (LIFSs) in Multiple Attribute Group Decision Making (MAGDM) problems. The proposed measures are integrated into the Linguistic Intuitionistic Fuzzy-Technique of Order Preference by Similarity to Ideal Solution (LIF-TOPSIS) MAGDM approach, and a numerical example demonstrating their use in ranking alternatives is shown in the paper. The work advances the subject of decision-making by providing a thorough framework for managing linguistic ambiguity in the setting of several attribute groups.