1. Andrews R, J Diederich, AB Tickle (1995) Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowledge-based Systems, 1995: 373-89.
2. Cholewa W (1985) Aggregation of fuzzy opinions—an axiomatic approach. Fuzzy Sets and Systems 17: 249-58.
3. Degani R, G Bortolan (1988) The problem of linguistic approximation in clinical decision making. Int J Approximate Reasoning 2: 143-62.
4. Delgado M, JL Verdegay MA Vila (1993) On aggregation operations of linguistic labels. Int J of Intelligent Systems 8: 351-70.
5. Deng M, W Xu, JB Yang (2004) Estimating the attribute weights through evidential reasoning and mathematical programming. International Journal of Information Technology & Decision Making 3: 419-28.
6. Dubois, D. and H. Prade, Weighted minimum and maximum operations in fuzzy set theory. Information Sciences, 39: 205-10.
7. Dubois D, H Prade C Testemale (1988) Weighted fuzzy pattern matching. Fuzzy Sets and Systems 28: 313-31.
8. Elalfi AE, R Haque, ME Elalami (2004) Extracting rules from trained neural network using GA for managing E-business. Applied Soft Computing 4: 65-77.
9. Herrera F, E Herrera-Viedma, J Verdegay (1996) Direct approach processes in group decision making using linguistic OWA operators. Fuzzy Sets and Systems 79: 175-90.
10. Herrera F, E Herrera-Viedma (1997) Aggregation operators for linguistic weighted information. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 27: 646-56.
11. Herrera, F. and E. Herrera-Viedma, Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets and Systems, 2000. 115(1): p. 67-82.
12. Ju Y (2014) A new method for multiple criteria group decision making with incomplete weight information under linguistic environment.Applied Mathematical Modelling 38: 5256-68.
13. Kirkpatrick S, CD Gelatt, MP Vecchi (1983) Optimization by simulated annealing. Science 220: 671-80.
14. Rosenblatt F (1962) Principles of Neurodynamics.
15. Sanchez E (1989) Importance in knowledge systems. Information Systems14: 455-64.
16. Schjaer-Jacobsen H (2002) Representation and calculation of economic uncertainties: Intervals, fuzzy numbers, and probabilities. International Journal of Production Economics 78: 91-98.
17. Shafer G (1976) A mathematical theory of evidence. Vol. 1. 1976: Princeton university press Princeton.
18. Tong RM, PP Bonissone (1982) A linguistic approach to decisionmaking with fuzzy sets. IEEE Transactions on Systems, Man, and Cybernetics 10: 716-23.
19. Wang YM, Y Luo, YS Xu (2013) Cross-weight evaluation for pairwise comparison matrices. Group Decision and Negotiation 2013: 1-15.
20. Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics. 18: 183-190.
21. Yager RR (1994) On weighted median aggregation. International Journal of Uncertainty, Fuzziness and Knowledge- Based Systems 2: 101-13.
22. Yager RR (1999) Modeling uncertainty using partial information. Information Sciences 121: 271-94.
23. Yang Gl, JB Yang, DL Xu, M Khoveyni (2016) A three-stage hybrid approach for weight assignment in MADM. Omega.
24. Zadeh LA (1965) Fuzzy sets. Information and Control 8: 338-53.
25. Zhang F, J Ignatius, CP Lim, M Goh (2014) A two-stage dynamic group decision making method for processing ordinal information. Knowledge-Based Systems 70: 189-202.
26. Zhou W, Z Xu (2016) Generalized asymmetric linguistic term set and its application to qualitative decision making involving risk appetites. European J Operational Res 254: 610-21.