Intuitionistic linguistic multi-attribute decision making algorithm based on integrated distance measure

Abstract

This study aims to integrate the intuitionistic linguistic multi-attribute decision making (MADM) method which builds upon an integrated distance measure into supplier evaluation and selection problems. More specifically, an intuitionistic linguistic integrated distance measure based on ordered weighted averaging operator (OWA) and weighted average approach is presented and applied. The desirable characteristics and families of the developed distance operator are further explored. In addition, based on the proposed distance measure, a supplier selection problem for an automobile factory is used to test the practicality of its framework. The effectiveness and applicability of the presented framework for supplier selection are examined by carrying comparative analysis against the existing techniques of aggregation. ARTICLE HISTORY

An approach for linguistic multi-attribute decision making based on linguistic many-valued logic

“…(𝑝(𝑥,𝛿𝑢),𝛼𝑐)→(𝑞(𝑦,𝜕𝑣),𝛽𝑐),(𝑝(𝑥,𝛿′𝑢),𝛼′𝑐) (𝑞(𝑦,∂′𝑣),(αδ −1 𝑐 → β ∂ −1 𝑐)⊗¬(α ′ δ ′−1 𝑐)) (11) The overall procedure of the linguistic multi-attribute decision making approach based on linguistic reasoning is summarized as follows.…”

Multi-attribute group decision making method under 2-dimension uncertain linguistic variables

“…As the expert weight determined by (21) and the weighted average operator given by (3), we can aggregate individual preferences to form group preferences:…”