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

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

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There are various types of multi-attribute decision-making (MADM) problems in our daily lives and decision-making problems under uncertain environments with vague and imprecise information involved.Therefore, linguistic multi-attribute decision-making problems are an important type studied extensively.Besides, it is easier for decision-makers to use linguistic terms to evaluate/choose among alternatives in real life.

Based on the theoretical foundation of the Hedge algebra and linguistic Boomboxes many-valued logic, this study aims to address multi-attribute decision-making problems by linguistic valued qualitative aggregation and reasoning method.In this paper, we NEFF N70 T27CS59S0 Gas Hob - Black construct a finite monotonous Hedge algebra for modeling the linguistic information related to MADM problems and use linguistic many-valued logic for deducing the outcome of decision making.Our method computes directly on linguistic terms without numerical approximation.

This method takes advantage of linguistic information processing and shows the benefit of Hedge algebra.