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An application of soft sets in a decision making problem. (English) Zbl 1044.90042
Summary: We apply the theory of soft sets to solve a decision making problem using rough mathematics.

MSC:
90B50Management decision making, including multiple objectives
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Full Text: DOI
References:
[1] Zadeh, L. A.: Fuzzy sets. Infor, and control 8, 338-353 (1965) · Zbl 0139.24606
[2] Atanassov, K.: Intuitionistic fuzzy sets. Fuzzy sets and systems 20, 87-96 (1986) · Zbl 0631.03040
[3] Atanassov, K.: Operators over interval valued intuitionistic fuzzy sets. Fuzzy sets and systems 64, 159-174 (1994) · Zbl 0844.04001
[4] Gau, W. L.; Buehrer, D. J.: Vague sets. IEEE trans. System man cybernet 23, No. 2, 610-614 (1993) · Zbl 0782.04008
[5] Gorzalzany, M. B.: A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy sets and systems 21, 1-17 (1987)
[6] Pawlak, Z.: Rough sets. International journal of information and computer sciences 11, 341-356 (1982) · Zbl 0501.68053
[7] Molodtsov, D.: Soft set theory-first results. Computers math. Applic. 37, No. 4/5, 19-31 (1999) · Zbl 0936.03049
[8] Yao, Y. Y.: Relational interpretations of neighbourhood operators and rough set approximation operators. Information sciences 111, No. 1--4, 239-259 (1998) · Zbl 0949.68144
[9] Thielle, H.: On the concepts of qualitative fuzzy sets, 1999 IEEE international symposium on multiplevalued logic. (1999)
[10] P.K. Maji, R. Biswas and A.R. Roy, On soft set theory, Computers Math. Applic., (submitted). · Zbl 1032.03525
[11] Pawlak, Z.: Rough sets: theoretical aspects of reasoning about data. (1991) · Zbl 0758.68054
[12] Lin, T. Y.: Granular computing on binary relations II: Rough set representations and belief functions. Rough sets in knowledge discovery, 121-140 (1998) · Zbl 0927.68090
[13] Lin, T. Y.: A set theory for soft computing, a unified view of fuzzy sets via neighbourhoods. Proceedings of 1996 IEEE international conference on fuzzy systems, 1140-1146 (1996)
[14] Pawlak, Z.: Hard set and soft sets. ICS research report (1994) · Zbl 0819.04008
[15] Prade, H.; Dubois, D.: Fuzzy sets & systems theory and applications. (1980) · Zbl 0444.94049
[16] Zimmermann, H. -J.: Fuzzy set theory and its applications. (1996) · Zbl 0845.04006