Xu, Z. S. Goal programming models for obtaining the priority vector of incomplete fuzzy preference relation. (English) Zbl 1088.91015 Int. J. Approx. Reasoning 36, No. 3, 261-270 (2004). Summary: We first define the concepts of incomplete fuzzy preference relation, additive consistent incomplete fuzzy preference relation and multiplicative consistent incomplete fuzzy preference relation, and then propose two goal programming models, based on additive consistent incomplete fuzzy preference relation and multiplicative consistent incomplete fuzzy preference relation respectively, for obtaining the priority vector of incomplete fuzzy preference relation. These two goal programming models are also extended to obtain the collective priority vector of several incomplete fuzzy preference relations. Finally, two illustrative numerical examples are given to verify the developed models. Cited in 1 ReviewCited in 67 Documents MSC: 91B08 Individual preferences 90C29 Multi-objective and goal programming Keywords:Incomplete fuzzy preference relation; Additive consistent incomplete fuzzy preference relation; Multiplicative consistent incomplete fuzzy preference relation; Goal programming model; Priority PDF BibTeX XML Cite \textit{Z. S. Xu}, Int. J. Approx. Reasoning 36, No. 3, 261--270 (2004; Zbl 1088.91015) Full Text: DOI References: [1] 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 [2] Xu, Z. S., On consistency of the weighted geometric mean complex judgement matrix in AHP, European Journal of Operational Research, 126, 683-687 (2000) · Zbl 0990.90072 [3] Fodor, J.; Roubens, M., Fuzzy Preference Modelling and Multicriteria Decision Support (1994), Kluwer: Kluwer Dordrecht · Zbl 0827.90002 [4] Saaty, T. L., The Analytic Hierarchy Process (1980), McGraw-Hill: McGraw-Hill New York · Zbl 1176.90315 [5] Vargas, L. G., Reciprocal matrices with random coefficients, Mathematical Modelling, 3, 69-81 (1982) · Zbl 0537.62100 [6] Jensen, R. E., An alternative scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 28, 317-332 (1984) [7] Saaty, T. L.; Vargas, L. G., Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios, Mathematical Modelling, 5, 309-324 (1984) · Zbl 0584.62102 [8] Xu, Z. S.; Wei, C. P., A consistency improving method in the analytic hierarchy process, European Journal of Operational Research, 116, 443-449 (1999) · Zbl 1009.90513 [9] Orlovsky, S. A., Decision-making with a fuzzy preference relation, Fuzzy Sets and Systems, 1, 155-167 (1978) · Zbl 0396.90004 [10] Kacprzyk, J.; Roubens, M., Non-Conventional Preference Relations in Decision-Making (1988), Springer: Springer Berlin · Zbl 0642.00025 [11] Triantaphyllou, E., Multi-Criteria Decision Making Methods: a Comparative Study (2000), Kluwer Academic Publishers: Kluwer Academic Publishers Dordrecht · Zbl 0980.90032 [12] Xu, Z. S., Generalized chi square method for the estimation of weights, Journal of Optimization Theory and Applications, 107, 183-192 (2000) · Zbl 0966.65012 [13] Xu, Z. S., On constructing synthetic matrix in the AHP, Journal of Systems Science and Complexity, 15, 407-415 (2002) · Zbl 1034.90006 [14] 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 [15] Xu, Z. S.; Da, Q. L., An approach to improving consistency of fuzzy preference matrix, Fuzzy Optimization and Decision Making, 2, 3-12 (2003) · Zbl 1436.91055 [16] Xu, Z. S., Two methods for ranking alternatives in group decision-making with different preference information, Information: an International Journal, 6, 389-394 (2003) [17] Chiclana, F.; Herrera, F.; Herrera-Viedma, E.; Martinez, L., A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators, Fuzzy Sets and Systems, 137, 71-83 (2003) · Zbl 1056.91016 [18] Chiclana, F.; Herrera, F.; Herrera-Viedma, E., Integrating multiplicative preference relations in a multipurpose decision-making based on fuzzy preference relations, Fuzzy Sets and Systems, 122, 277-291 (2001) · Zbl 1098.90523 [19] Tanino, T., Fuzzy preference orderings in group decision-making, Fuzzy Sets and Systems, 12, 117-131 (1984) · Zbl 0567.90002 [20] Kacprzyk, J., Group decision making with a fuzzy linguistic majority, Fuzzy Sets and Systems, 18, 105-118 (1986) · Zbl 0604.90012 [21] Nurmi, H., Approaches to collective decision making with fuzzy preference relations, Fuzzy Sets and Systems, 6, 249-259 (1981) · Zbl 0465.90006 [22] Tanino, T., On group decision-making under fuzzy preferences, (Kacprzyk, J.; Fedrizzi, M., Multiperson Decision-Making Using Fuzzy Sets and Possibility Theory (1990), Kluwer Academic Publishers: Kluwer Academic Publishers Dordrecht), 172-185 [23] Herrera, F.; Herrera-Viedma, E.; Verdegay, J. L., A sequential selection process in group decision-making with linguistic assessment, Information Sciences, 85, 223-239 (1995) · Zbl 0871.90002 [24] Roubens, M., Some properties of choice functions based on valued binary relations, European Journal of Operational Research, 40, 309-321 (1989) · Zbl 0675.90008 [25] Xu, Z. S., Study on the relation between two classes of scales in AHP, Systems Engineering-Theory & Practice, 19, 9, 97-101 (1999) [27] Xu, Z. S., Algorithm for priority of fuzzy complementary judgement matrix, Journal of Systems Engineering, 16, 4, 311-314 (2001) [28] Xu, Z. S.; Da, Q. L., The uncertain OWA operator, International Journal of Intelligent Systems, 17, 569-575 (2002) · Zbl 1016.68025 [29] Kitainik, L., Fuzzy Decision Procedures with Binary Relations, Towards a Unified Theory (1993), Kluwer Academic Publishers: Kluwer Academic Publishers Dordrecht · Zbl 0821.90001 [30] Lipovetsky, S.; Michael Conklin, M., Robust estimation of priorities in the AHP, European Journal of Operational Research, 137, 110-122 (2002) · Zbl 1009.90059 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.