A decision making method based on weighted interval- valued fuzzy reasoning algorithm
Qiansheng Zhang, Shihua Luo · Procedia Engineering · 2011
This paper presents a weighted interval-valued fuzzy (IvF) reasoning algorithm for handling decision making problem where interval-valued fuzzy sets (IvFSs) concept and IvF decision rules are used for uncertain knowledge representation. The proposed algorithm can perform IvF matching between the unknown model and the antecedent portion of IvF rule by employing a weighted similarity measure to determine the presence of decision model with a confidence interval.