Cardinal ranking of alternative actions: extension of the promethee method

Diakoulaki, D; Koumoutsos, N

dc.contributor.author	Diakoulaki, D	en
dc.contributor.author	Koumoutsos, N	en
dc.date.accessioned	2014-03-01T01:08:16Z
dc.date.available	2014-03-01T01:08:16Z
dc.date.issued	1991	en
dc.identifier.issn	0377-2217	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10384
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0026205016&partnerID=40&md5=fe49e5ba950b6a8e8d01c38b9f22faff	en
dc.subject	Decision	en
dc.subject	fuzzy sets	en
dc.subject	multiple criteria programming	en
dc.subject.classification	Management	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.other	Management Science	en
dc.subject.other	Mathematical Programming	en
dc.subject.other	Mathematical Techniques - Fuzzy Sets	en
dc.subject.other	Cardinal Scale	en
dc.subject.other	Decision Making	en
dc.subject.other	Multiple Criteria Programming	en
dc.subject.other	PROMETHEE Method	en
dc.subject.other	Decision Theory and Analysis	en
dc.title	Cardinal ranking of alternative actions: extension of the promethee method	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1991	en
heal.abstract	The method presented in this paper is an extension of the promethee, one of the most known multicriteria outranking methods. This extension consists in a more detailed investigation of the differences existing among the performances of the actions examined, achieved through the notion of ideal and anti-ideal alternative. Hence, the state of strict preference relating various pairs of actions can be differentiated with reference to the extreme performances attained by the alternatives under consideration. The more accurate description of the reality leads to a relatively more reliable ranking of the available solutions and allows the exploitation of the results for the construction of a cardinal scale, assigning to each action a numerical value between 0 and 1. The quantitative differentiation of the alternatives, thus achieved, gives another dimension of information, which is extremely useful for the decision making process. A comparative study of the two methods shows the greater sensitivity of exprom and its ability to reflect in the quantitative results any probable deviation in the initial data of a problem. This sensitivity is accompanied with a greater stability, due to the smoothing of the discontinuities characterizing most preference functions in promethee. © 1991.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	European Journal of Operational Research	en
dc.identifier.isi	ISI:A1991GC04500008	en
dc.identifier.volume	53	en
dc.identifier.issue	3	en
dc.identifier.spage	337	en
dc.identifier.epage	347	en