A NOVEL APPROACH TO RANKING FUZZY NUMBERS BASED ON FUZZY ACCEPTABILITY ANALYSIS

摘要

A novel approach to ranking fuzzy numbers based on Fuzzy Acceptability Analysis (FAA) is considered. The use of FAA represents a consistent approach to fuzzy decision analysis in accordance with the concept that "decision taken in a fuzzy environment should be inherently fuzzy". The two preference relations for ranking fuzzy numbers with the use of FAA are presented. Implementation of FAA within fuzzy Multicriteria Decision Analysis is considered based on ranking fuzzy numbers/alternatives with indicating a fuzzy measure (degree of confidence) for each rank.