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Concepts, Theory, and Techniques A NEW METHODOLOGY FOR ORDINAL MULTIOBJECTIVE DECISIONS BASED ON FUZZY SETS
Author(s) -
Yager Ronald R.
Publication year - 1981
Publication title -
decision sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.238
H-Index - 108
eISSN - 1540-5915
pISSN - 0011-7315
DOI - 10.1111/j.1540-5915.1981.tb00111.x
Subject(s) - fuzzy set , decision maker , ordinal optimization , ordinal data , fuzzy logic , computer science , set (abstract data type) , mathematics , management science , mathematical economics , mathematical optimization , artificial intelligence , operations research , machine learning , economics , programming language
Using the structural forms supplied by fuzzy set theory and approximate reasoning, a new method is presented for solving multiple‐objective decision problems for which the decision maker can supply only ordinal information on his preferences and the importance of the individual objectives.