Herrera-Viedma, E.; Herrera, F.; Chiclana, F.; Luque, M. Some issues on consistency of fuzzy preference relations. (English) Zbl 1099.91508 Eur. J. Oper. Res. 154, No. 1, 98-109 (2004). Summary: In decision making, in order to avoid misleading solutions, the study of consistency when the decision makers express their opinions by means of preference relations becomes a very important aspect in order to avoid misleading solutions. In decision making problems based on fuzzy preference relations the study of consistency is associated with the study of the transitivity property. In this paper, a new characterization of the consistency property defined by the additive transitivity property of the fuzzy preference relations is presented. Using this new characterization a method for constructing consistent fuzzy preference relations from a set of \(n-1\) preference data is proposed. Applying this method it is possible to assure better consistency of the fuzzy preference relations provided by the decision makers, and in such a way, to avoid the inconsistent solutions in the decision making processes. Additionally, a similar study of consistency is developed for the case of multiplicative preference relations. Cited in 151 Documents MSC: 91B06 Decision theory 91B08 Individual preferences Keywords:Decision making; Fuzzy preference relations; Multiplicative preference; relations; Consistency; Reciprocity PDF BibTeX XML Cite \textit{E. Herrera-Viedma} et al., Eur. J. Oper. Res. 154, No. 1, 98--109 (2004; Zbl 1099.91508) Full Text: DOI OpenURL References: [1] Aczél, J., Lectures on functional equations and their applications, (1966), Academic Press New York · Zbl 0139.09301 [2] Chiclana, F.; Herrera, F.; Herrera-Viedma, E., Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations, Fuzzy sets and systems, 97, 33-48, (1998) · Zbl 0932.91012 [3] Chiclana, F.; Herrera, F.; Herrera-Viedma, E., Integrating multiplicative preference relations in a multipurpose decision making model based on fuzzy preference relations, Fuzzy sets and systems, 112, 277-291, (2001) · Zbl 1098.90523 [4] Cutello, V.; Montero, J., Fuzzy rationality measures, Fuzzy sets and systems, 62, 39-54, (1994) · Zbl 0828.90004 [5] Dubois, D.; Prade, H., Fuzzy sets and systems: theory and application, (1980), Academic Press New York [6] Fodor, J.; Roubens, M., Fuzzy preference modelling and multicriteria decision support, (1994), Kluwer Dordrecht · Zbl 0827.90002 [7] Herrera, F.; Herrera-Viedma, E.; Chiclana, F., Multiperson decision making based on multiplicative preference relations, European journal of operational research, 129, 372-385, (2001) · Zbl 0980.90041 [8] Herrera, F.; Herrera-Viedma, E.; Verdegay, J.L., A rational consensus model in group decision making using linguistic assessments, Fuzzy sets and systems, 88, 31-49, (1997) · Zbl 0949.68571 [9] Luce, R.D.; Suppes, P., Preferences utility and subject probability, (), 249-410 [10] Miller, G.A., The magical number seven or minus two: some limits on our capacity of processing information, Psychological review, 63, 81-97, (1956) [11] Saaty, Th.L., The analytic hierarchy process, (1980), McGraw-Hill New York · Zbl 0421.90100 [12] Saaty, Th.L., Fundamentals of decision making and priority theory with the AHP, (1994), RWS Publications Pittsburgh [13] Sen, A.K., Social choice theory: A re-examination, Econometrica, 45, 53-89, (1977) · Zbl 0353.90001 [14] Tanino, T., Fuzzy preference orderings in group decision making, Fuzzy sets and systems, 12, 117-131, (1984) · Zbl 0567.90002 [15] Tanino, T., Fuzzy preference relations in group decision making, (), 54-71 [16] Triantaphyllou, E., Multi-criteria decision making methods: A comparative study, (2000), Kluwer Academic Publishers Dordrecht · Zbl 0980.90032 [17] Zimmermann, H.-J., Fuzzy set theory and its applications, (1991), Kluwer Dordrecht · Zbl 0719.04002 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.