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A decision making method based on weighted interval- valued fuzzy reasoning algorithm

Authors
Publisher
Elsevier Ltd
Publication Date
Volume
15
Identifiers
DOI: 10.1016/j.proeng.2011.08.580
Keywords
  • Interval-Valued Fuzzy Set
  • Weighted Similarity Measure
  • Decision Rule
  • Interval-Valued Fuzzy Reasoning
  • Decision Making
  • Medical Diagnosis
Disciplines
  • Computer Science

Abstract

Abstract 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.

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