Fuzzy classification using the data envelopment analysis

Knowledge-Based Systems

Volumn 31, Issue , 2012, Pages 183-192

  Pendharkar, Parag ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Data envelopment analysis; Data mining; Fuzzy classification; Fuzzy membership functions; Fuzzy neural networks

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; COMPETING MODELS; DATA ENVELOPMENT ANALYSIS (DEA); DECISION-MAKING PROBLEM; FUZZY CLASSIFICATION; FUZZY CLASSIFICATION SYSTEMS; FUZZY MEMBERSHIP FUNCTION; FUZZY RULE BASED CLASSIFICATION SYSTEMS; LOGISTIC REGRESSIONS; REAL-WORLD DATASETS;

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; DATA MINING; DIRECT BOROHYDRIDE FUEL CELLS (DBFC); FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; LOGISTICS; MEMBERSHIP FUNCTIONS;

DATA ENVELOPMENT ANALYSIS;

EID: 84859910730     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2012.03.007     Document Type: Article

References (38)

1. E. Altman Financial ratios, discriminant analysis and the prediction of corporate bankruptcy The Journal of Finance 23 1968 589 609
2. E. Altman, R.G. Haldeman, and P. Narayanan ZETA analysis: a new model to identify bankruptcy risk of corporations Journal of Banking and Finance 1 1977 29 54
3. R.D. Banker, A. Charnes, and W.W. Cooper Some models for estimating technical and scale inefficiencies in DEA Management Science 20 9 1984 1078 1092 (Pubitemid 14651320)
4. S. Bhattacharyya, and P.C. Pendharkar Inductive, evolutionary and neural techniques for discrimination: a comparative study Decision Sciences 29 4 1998 871 900
5. T. Bilgi, and I.B. Türksen Measurement of membership functions: theoretical and empirical work D. Dubois, H. Prade, Handbook of Fuzzy Sets & Systems Fundamentals of Fuzzy Sets vol. 1 1999 Kluwer Academic Press 195 232
6. A. Charnes, W.W. Cooper, and E. Rhodes Measuring the efficiency of decision making units European Journal of Operational Research 2 6 1978 429 444 (Pubitemid 9402758)
7. Y.H. Chen, W.-J. Wang, and C.-H. Chiu New estimation method for the membership values in fuzzy sets Fuzzy Sets and Systems 112 2000 521 525
8. O. Cordón A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: designing interpretable genetic fuzzy systems International Journal of Approximate Reasoning 52 6 2011 894 913
9. O. Cordón, and A. Quirin Comparing two genetic overproduce-and-choose strategies for fuzzy rule-based multiclassification systems generated by bagging and mutual information-based feature selection International Journal of Hybrid and Intelligent Systems 7 1 2010 45 64
10. T. Efendigil, and S. Oenuet An integration methodology based on fuzzy inference systems and neural approaches for multi-stage supply-chains Computers & Industrial Engineering 62 2012 554 569
11. F.M. Feinberg, and J. Huber A theory of cutoff formation under imperfect information Management Science 42 1 1996 65 84 (Pubitemid 126545084)
12. A. Gaba, and W.K. Viscusi Differences in subjective risk thresholds: Worker groups as an example Management Science 44 6 1998 801 811 (Pubitemid 128572650)
13. S.S. Gill, R. Singh, J. Singh, and H. Singh Adaptive neuro-fuzzy inference system modeling of cryogenically treated AISI M2 HSS turning tool for estimation of flank wear Expert Systems with Applications 39 2012 4171 4180
14. S. Haykin Neural Networks: A Comprehensive Foundations 1999 Prentice Hall Upper Saddle River, NJ
15. D.W. Hosmer, and S. Lemeshow Applied Logistic Regression second ed. 2000 John Wiley New York, NY
16. Y.-C. Hu Fuzzy integral-based perceptron for two-class pattern classification problems Information Sciences 177 2007 1673 1986
17. M. Inuiguchi, T. Tanino, and M. Sakawa Membership function elicitation in possibilistic programming problems Fuzzy Sets and Systems 111 2000 29 45
18. H. Ishibuchi, K. Nozaki, and H. Tanaka Distributed representation of fuzzy rules and its application to pattern classification Fuzzy Sets and Systems 52 1992 21 32
19. J.-S.R. Jang, C.T. Sun, and E. Mizutani Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence 1997 Prentice Hall Upper Saddle River, NJ
20. K. Jia, and Y. Lu A new method of combined classifier design based on fuzzy neural network International Journal of Computer and Information Science and Engineering 1 1 2007 10 15
21. V. Kreinovich, J. Beck, and H.T. Nguyen Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: how to elicit them from users, and how to use them in data processing Information Sciences 177 2007 388 407 (Pubitemid 44634442)
22. M. Negnevitsky Artificial Intelligence: A Guide to Intelligent Systems 2005 Addison-Wesley Essex, England
23. K. Nozaki, and H. Ishibuchi Adaptive fuzzy rule-based classification systems IEEE Transactions on Fuzzy Systems 4 3 1996 238 250 (Pubitemid 126777743)
24. I. Ntzoufras Bayesian Modeling Using WinBUGS 2009 John Wiley & Sons Hoboken, NJ
25. P.C. Pendharkar, and S. Nanda A misclassification cost minimizing evolutionary-neural classification approach Naval Research Logistics 53 5 2006 432 447 (Pubitemid 44117539)
26. P.C. Pendharkar, G.H. Subramanian, and J.A. Rodger A probabilistic model for predicting software development effort IEEE Transactions on Software Engineering 31 7 2005 615 624 (Pubitemid 41387753)
27. P.C. Pendharkar A threshold-varying artificial neural network approach for classification and its application to bankruptcy prediction problem Computers & Operations Research 32 2005 2561 2582 (Pubitemid 40219761)
28. P.C. Pendharkar, and J.A. Rodger An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification Computers & Operations Research 31 2004 481 498 (Pubitemid 38098439)
29. P.C. Pendharkar Characterization of aggregate fuzzy membership functions using saaty's eigenvalue approach Computers & Operations Research 30 2003 199 212 (Pubitemid 35404978)
30. P.C. Pendharkar A potential use of DEA for inverse classification problem Omega: An International Journal of Management Science 30 2002 243 248
31. V. Ravi, and H.-J. Zimmermann Fuzzy rule based classification with FeatureSelector and modified threshold accepting European Journal of Operational Research 123 2000 16 28 (Pubitemid 30575849)
32. L.M. Seiford, and J. Zhu An acceptance system decision rule with data envelopment analysis Computers & Operations Research 25 4 1998 329 332
33. M.D. Troutt, A. Rai, and A. Zhang The potential use of DEA for credit applicant acceptance systems Computers & Operations Research 23 4 1996 405 408
34. J. Wang, K. Li, and H. Zhang Interval-valued intuitionistic fuzzy multi-criteria decision-making approach based on prospect score function Knowledge-Based Systems 27 2012 119 125
35. X. Wang, E.C. Tsang, S. Zhao, D. Chen, and D.S. Yeung Learning fuzzy rules from fuzzy samples based on rough set technique Information Sciences 177 2007 4493 4514 (Pubitemid 47079039)
36. I.H. Witten, and E. Frank Data Mining: Practical Machine Learning Tools and Techniques 2005 Morgan Kaufmann Publishers San Francisco, CA
37. L.A. Zadeh Toward a generalized theory of uncertainty (GTU) - an outline Information Sciences 172 2005 1 40 (Pubitemid 40612866)
38. M.J. Zolghadri, and E.G. Mansoori Weighting fuzzy classification rules using receiver operating characteristics (ROC) analysis Information Sciences 177 2007 2296 2307 (Pubitemid 46435494)