A Supervised Algorithm for Fuzzy Multi-criteria Decision Making

This paper attempts to develop a model for fuzzy multi- criteria decision making under the supervision of subjective preference information. A supervised algorithm, which amalgamates the subjective and objective weights into optimization, and can simultaneously determine the index weights and relative membership degrees, is developed under the supervision of decision makers' experience and preference. A case study is followed to demonstrate the applicability of the proposed algorithm.