Logistic preference function for preference ranking organization method for enrichment evaluation (PROMETHEE) decision analysis

Abstract

Decision problems relate to problems of ranking, choice and detection with regards to whether a decision alternative efficient parameter satisfies some given conditions. The preference ranking organization method for enrichment evaluation (PROMETHEE) methods of decision analysis are recognized as being efficient in solving problems involving ranking. Various preference functions have been established in the literature as being useful in the PROMETHEE methodology. The Gaussian preference function is preferred when the performance data is continuous. This paper presents a new logistic preference function, which can be used for continuous performance data. The proposed logistic preference function was used on telecommunications operators performance data of the National Communication Authority of Ghana. When used in the PROMETHEE methodology, the proposed logistic preference function and the Gaussian preference function produced the same order of ranking. However, the proposed logistic preference function performed more efficiently than the Gaussian preference function. Key words: Preference ranking organization method for enrichment evaluation (PROMETHEE), multicriteria, preference function, telecommunication.