Using DRSA and fuzzy measure to enlighten policy making for enhancing national competitiveness by WCY 2011

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7345 LNAI, Issue , 2012, Pages 709-719

  Ko, Yu Chien ^a   Fujita, Hamido ^b   Tzeng, Gwo Hshiung ^c,d  

^a CHUNG HUA UNIVERSITY   (Taiwan)

^b IWATE PREFECTURAL UNIVERSITY   (Japan)

^c KAINAN UNIVERSITY   (Taiwan)

^d NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

dominance based rough set approach (DRSA); fuzzy measure; national competitiveness; World Competitiveness Yearbook (WCY)

Indexed keywords

DOMINANCE-BASED ROUGH SET APPROACH; EXTENDED FUZZY MEASURE; FUZZY DENSITY; FUZZY MEASURES; NATIONAL COMPETITIVENESS; POLICY MAKING; PORTUGAL; WORLD COMPETITIVENESS YEARBOOK (WCY);

COMPETITION; DECISION MAKING; INDUSTRIAL ENGINEERING; INTELLIGENT SYSTEMS; ROUGH SET THEORY;

FUZZY SYSTEMS;

EID: 84864329548     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31087-4_72     Document Type: Conference Paper

References (21)

1. Grabisch, M.: The representation of importance and interaction of features by fuzzy measures. Pattern Recognition Letters 17(6), 567-575 (1996)
2. Mikenina, L., Zimmermann, H.-J.: Improved feature selection and classification by the 2-additive fuzzy measure. Fuzzy Sets and Systems 107(2), 197-218 (1999)
3. Grabisch, M., Sugeno, M.: Multi-attribute classification using fuzzy integral. In: IEEE International Conference in Fuzzy Systems 1992, pp. 47-54 (1992)
4. Keller, J.M., Gader, P., Tahani, H., Chiang, J.-H., Mohamed, M.: Advances in fuzzy integration for pattern recognition. Fuzzy Sets and Systems 65(2-3), 273-283 (1994)
5. Grabisch, M.: Fuzzy integral in multicriteria decision making. Fuzzy Sets and Systems 69(3), 279-298 (1995)
6. Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research 89(3), 445-456 (1996)
7. Yang, J.L., Chiu, H.N., Tzeng, G.H.: Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships. Information Sciences 178(21), 4166-4183 (2008)
8. Larbani, M., Huang, C.Y., Tzeng, G.H.: A novel method for fuzzy measure identification. International Journal of Fuzzy Systems 13(1), 24-34 (2011)
9. Sugeno, M.: Theory of fuzzy integrals and its applications. Ph.D. thesis, Tokyo Institute of Technology, Tokyo, Japan (1974)
10. Tahani, H., Keller, J.: Information Fusion in Computer Vision Using the Fuzzy Integral. IEEE Transactions on Systems, Man, Cybernetics 20(3), 733-741 (1990)
11. Lee, K.-Y., Leekwang, H.: Identification of λ-fuzzy measure by genetic algorithms. Fuzzy Sets and Systems 75(3), 301-309 (1995)
12. Larbani, M., Huang, C.Y., Tzeng, G.H.: A Novel Method for Fuzzy Measure Identification. International Journal of Fuzzy Systems 13(1), 24-34 (2011)
13. Greco, S., Matarazzo, B., Slowinski, R.: Rough approximation of a preference relation by dominance relations. European Journal of Operational Research 117(1), 63-83 (1999)
14. Greco, S., Matarazzo, B., Slowinski, R.: Extension of the rough set approach to multicriteria decision support. INFOR 38(3), 161-193 (2000)
15. Greco, S., Matarazzo, B., Slowinski, R.: Rough set theory for multicriteria decision analysis. European Journal of Operational Research 129(1), 1-47 (2001)
16. Greco, S., Matarazzo, B., Slowinski, R.: Rough approximation by dominance relations. International Journal of Intelligent Systems 17(2), 153-171 (2002)
17. Fan, T.F., Liu, D.R., Tzeng, G.H.: Rough set-based logics for multicriteria decision analysis. European Journal of Operational Research 82(1), 340-355 (2007)
18. Liou, J.J.H., Tzeng, G.H.: A dominance-based rough set approach to customer behavior in the airline market. Information Sciences 180(11), 2230-2238 (2010)
19. Shyng, J.Y., Shieh, H.M., Tzeng, G.H.: Compactness rate as a rule selection index based on rough set theory to improve data analysis for personal investment portfolios. Applied Soft Computing 11(4), 3671-3679 (2011)
20. Pawlak, Z.: Rough set approach to knowledge-based decision support. European Journal of Operational Research 99, 48-57 (1997)
21. Pawlak, Z.: Rough set, decision algorithm, and Bayes' theorem. European Journal of Operational Research 136(1), 181-189 (2002)