A sensitivity analysis approach to introducing weight factors into decision functions in fuzzy multicriteria decision making

Fuzzy Sets and Systems

Volumn 97, Issue 2, 1998, Pages 169-182

  Kaymak, Uzay ^a   Van Nauta Lemke, Hans R ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Averaging operator; Criteria weights; Fuzzy decision making; Multicriteria analysis; Sensitivity index

Indexed keywords

DECISION MAKING; FUNCTIONS; FUZZY SETS; SENSITIVITY ANALYSIS;

AVERAGING OPERATORS; CRITERIA WEIGHTS; DECISION FUNCTIONS; FUZZY DECISION MAKING; MULTICRITERIA ANALYSIS; SENSITIVITY INDEX;

DECISION THEORY;

EID: 0032123141     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0114(96)00336-3     Document Type: Article

References (18)

1. R.E. Bellman and L.A. Zadeh, Decision-making in a fuzzy environment, Management Sci. 17(4) (1970) 141-164.
2. W.A.W. de Herder, Multicriteria beslissen met vage criteria, Master's Thesis, Delft University of Technology, Control Lab. Fac. of El. Eng. Delft (1986) (A86.005-(364)).
3. H. Dyckhoff and W. Pedrycz, Generalized means as model of compensative connectives, Fuzzy Sets and Systems 14 (1984) 143-154.
4. G.H. Hardy, J.E. Littlewood and G. Polya, Inequalities (Cambridge Univ. Press, London, 2nd ed., 1973).
5. A. Ibrahim and B.M. Ayyub, Multi-criteria ranking of components according to their priority for inspection, Fuzzy Sets and Systems 48 (1992) 1-14.
6. D.M. Johnston and R.N. Palmer, Application of fuzzy decision making: an evaluation, Civil Eng. Systems 5 (1988) 87-92.
7. A. Kamel, A. Nazif, O. El-Dessouki and N. Kamel, MCFS: a multiple criteria reasoning fuzzy expert systems building tool, Comput. Systems Sci. Eng. 7 (1992) 202-208.
8. U. Kaymak, Multicriteria decision making with the use of fuzzy sets, Master's Thesis, Delft University of Technology, Control Lab. Fac. of El. Eng. Delft (1992) (A92.032-(606)).
9. U. Kaymak and H.R. van Nauta Lemke, A parametric generalized goal function for fuzzy decision making with unequally weighted objectives, Proc. 2nd IEEE Internat. Conf. on Fuzzy Systems, Vol. 2 (1993) 1156-1160.
10. U. Kaymak and H.R. van Nauta Lemke, Selecting an aggregation operator for fuzzy decision making, Proc. 3rd IEEE Internat. Conf. on Fuzzy Systems, Vol. 2 (1994) 1418-1422.
11. B. Kovalerchuk and V. Taliansky, Comparison of empirical and computed values of fuzzy conjunction, Fuzzy Sets and Systems 46 (1992) 49-53.
12. T.L. Saaty, A scaling method for priorities in hierarchial structures, J. Math. Psychol. 15 (1977) 234-281.
13. U. Thole, H.-J. Zimmermann and P. Zysno, On the suitability of minimum and product operators for the intersection of fuzzy sets, Fuzzy Sets and Systems 2 (1979) 167-180.
14. H.R. van Nauta Lemke, J.G. Dijkman, H. van Haeringen and M. Pleeging, A characteristic optimism factor in fuzzy decision-making, Proc. IFAC Symp. on Fuzzy Information, Knowledge Representation and Decision Analysis, Marseille, France (1983) 283-288.
15. R.R. Yager, Fuzzy decision making including unequal objectives, Fuzzy Sets and Systems 1 (1978) 87-95.
16. R.R. Yager, General multiple-objective decision functions and linguistically quantified statements, Internat. J. Man-Machine Stud. 21 (1984) 389-400.
17. P.L. Yu and G. Leitmann, Compromise solutions, domination structures and Salukvadze's solution, in: G. Leitmann, Ed., Multicriteria Decision Making and Differential Games (Plenum Press, New York, 1976) 85-101.
18. H.-J. Zimmermann and P. Zysno, Latent connectives in human decision making, Fuzzy Sets and Systems 4 (1980) 37-51.