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Passive and Active Compensability Multicriteria ANnalysis (PACMAN)
Author(s) -
Giarlotta Alfio
Publication year - 1998
Publication title -
journal of multi‐criteria decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.462
H-Index - 47
eISSN - 1099-1360
pISSN - 1057-9214
DOI - 10.1002/(sici)1099-1360(199807)7:4<204::aid-mcda192>3.0.co;2-5
Subject(s) - preference , compensation (psychology) , decision maker , preference relation , order (exchange) , binary relation , binary number , computer science , mathematical optimization , relation (database) , mathematics , mathematical economics , operations research , data mining , economics , statistics , arithmetic , discrete mathematics , psychology , finance , psychoanalysis
Determining intercriteria relations is an important issue in MCDA. In order to handle this problem, this paper presents a new approach to the concept of compensation in multicriteria analysis, named PACMAN (Passive and Active Compensability Multicriteria ANalysis). The notion of compensability introduced here is decision maker oriented, relying only on information provided by him. In PACMAN compensability is analysed by taking into consideration two criteria at a time and distinguishing the compensating criterion from the compensated one. Separating active and passive effects of compensation allows one to point out a possible asymmetry of the notion of compensability. A valued binary relation of compensated preference is introduced. Compensated preference can be used for a modelization of the preference structure. © 1998 John Wiley & Sons, Ltd.