Soft computing based on interval valued fuzzy ANP-A novel methodology

Journal of Intelligent Manufacturing

Volumn 23, Issue 5, 2012, Pages 1529-1544

  Vahdani, Behnam ^a   Hadipour, Hasan ^b   Tavakkoli Moghaddam, Reza ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Analytic Network Process (ANP); Interval valued fuzzy set (IVFS); IVF ANP; IVF TOPSIS; IVF VIKOR; Multicriteria decision making (MCDM)

Indexed keywords

ANALYTIC NETWORK PROCESS; INTERVAL-VALUED FUZZY SETS; IVF-ANP; IVF-TOPSIS; IVF-VIKOR; MULTI-CRITERIA DECISION MAKING;

DECISION THEORY; FUZZY SETS; INSURANCE; LINGUISTICS; SOFT COMPUTING;

DECISION MAKING;

EID: 84870905405     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-010-0457-5     Document Type: Article

References (57)

1. Ashtiani,B., Haghighirad, F.,Makui,A.,&Montazer,G. (2009). Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets. Applied Soft Computing, 9, 457-461.
2. Ayag, Z., & Ozdemir, R. G. (2008). A hybrid approach to concept selection through fuzzy analytic network process, computers & industrial engineering, Article in press
3. Ayäg, Z., & Özdemir, R. G. (2009). An intelligent approach to machine tool selection through fuzzy analytic network process. Journal of Intelligent Manufacturing. doi:10.1007/s10845-009-0269-7
4. Azhar, T. M., & Leung, L. C. A. (1993). multi-attribute product life-cycle approach to replacement decisions: An application of Saaty's system-with-feedback method. The Engineering Economist, 38(4), 321-343.
5. Brockett, P. L., Cooper,W.W.,Golden, L. L., Rousseau, J. J.,&Yuying, W. (2004). Evaluating solvency versus efficiency performance and different forms of organization and marketing in US propertyliability insurance companies. European Journal of Operational Research, 154(2), 492-514.
6. Bustince, H. (1994). Conjuntos Intuicionistas e Intervalo valorados Difusos: Propiedades y Construcci-on, Relaciones Intuicionistas Fuzzy, Thesis, Universidad P-ublica de Navarra
7. Büyükzkan, G., Ertay, T., Kahraman, C., & Ruan, D. (2004). Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. International Journal of Intelligent Systems, 19, 443-461.
8. Chen, C. T. (2000). Extensions of the TOPSIS for group decisionmaking under fuzzy environment. Fuzzy Sets and Systems, 114, 1-9.
9. Chen, T. Y., & Yeh, T. L. (2000). A measurement of bank efficiency, ownership and productivity change in Taiwan. Service Industries Journal, 20(1), 95-109.
10. Chen, Z., Li, H., & Wong, C. T. C. (2005). Environal planning: Analytic network process model for environmentally conscious construction planning. Journal of Construction Engineering and Management, 131(1), 92-101.
11. Chen, S. J., Hwang, C. L., & Hwang, F. P. (1992). Fuzzy multiple attribute decision making. Lecture notes in economics and mathematical system, Vol. 375
12. Chung, S. H., Lee, A. H. L., & Pearn, W. L. (2005). Analytic network process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96, 15-36.
13. Chung, S. H., Lee, A. H., & Pearn, W. L. (2005). Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis. International Journal of Advanced Manufacturing Technology, 25, 1144-1156.
14. Cornelis, C., Deschrijver, G., & Kerre, E. E. (2006). Advances and challenges in interval-valued fuzzy logic. Fuzzy Sets and Systems, 157, 622-627.
15. Cummins, D. J., Doherty, N. A., & Lo., A. (2002). Can insurers pay for the big one? Measuring the capacity of the insurance market to respond to catastrophic losses. Journal of Banking and Finance, 26, 557-583.
16. Dägdeviren, M. (2010). A hybrid multi-criteria decision-making model for personnel selection in manufacturing systems. Journal of Intelligent Manufacturing, 21, 4.
17. Gatzert, N., & Schmeiser, H. (2006). The influence of corporate taxes on pricing and capital. Institute of Insurance Economics, 24, 1-25.
18. Gorzalczany, M. B. (1987). A method of inference in approximate reasoning based on interval-valued fuzzy sets. Fuzzy Sets and Systems, 21, 1-17.
19. Grattan-Guinness, I. (1975). Fuzzy membership mapped onto interval and many-valued quantities. Zeitschrift für Mathema-Tischen Logik Und Grundlagen der Mathematik, 22, 149-160.
20. Grzegorzewski, P. (2004). Distances between intuitionistic fuzzy sets and/or interval valued fuzzy sets based on the Hausdorff metric. Fuzzy Set and Systems, 148, 319-328.
21. Hamalainen, R. P., & Seppalainen, T. O. (1986). The analytic network process in energy policy planning. Socio-Economic Planning Science, 20, 399-405.
22. Hong, D. H., & Lee, S. (2002). Some algebraic properties and a distance measure for interval valued fuzzy numbers. Information Sciences, 148, 1-10.
23. Karnik, N. N., & Mendel, J. M. (2001). Operations on type-2 fuzzy sets. Fuzzy Sets and Systems, 122, 327-348.
24. Karsak, E. E., Sozer, S., & Alptekin, S. E. (2002). Production planning in quality function deployment using a combined analytical network process and goal programming approach. Computers and Industrial Engineering, 44, 171-190.
25. Kohout, L. J., & Bandler, W., et al. (1996). Fuzzy interval inference utilizing the checklist paradigm and BK-relational products. In R. B. Kearfort, Applications of interval computations (pp. 291-335). Dordrecht: Kluwer.
26. Lee, J. W., & Kim, S. H. (2001). An integrated approach for independent information system project selection. International Journal of Project Management, 19, 111-118.
27. Lee, J.W., & Kim, S.H. (2000). Using analytic network process and goal programming for interdependent information system project selection. Computers and Operations Research, 27, 367-382.
28. Meade, L., & Presley, A. (2002). R&D project selection using AHP. IEEE Transactions on Engineering Management, 49, 22-28.
29. Meade, L., & Sarkis, J. (1999). Analyzing organizational project alternatives for agile manufacturing process: An analytical network approach. International Journal of Production Research, 37, 241-261.
30. Mikhailov, L., & Singh, M. (2003). Fuzzy analytic network process and its application to the development of decision support systems. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, 33(1), 33-41.
31. Momoh, J. A., & Zhu, J. (2003). Optimal generation-scheduling based on AHP/ANP. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 33, 531-535.
32. Niemira, M. P., & Saaty, T. L. (2004). An analytical network process model for financial-crisis forecasting. International Journal of Forecasting, 20, 573-587.
33. Partovi, F. Y., & Corredoira, R. A. (2002). Quality function deployment for the good of soccer. European Journal of Operational Research, 137, 642-656.
34. Saaty, T.L. (1980). Multicriteria decision making: The analytic hierarchy process. Pittsburg: RWS Publications.
35. Saaty, T. L. (1996). Decision making with dependence and feedback: The analytic network process. Pittsburgh, PA: RWS Publications.
36. Saaty, T. L., & Vargas, L. G. (1998). Diagnosis with dependent symptoms: Bayes theorem and the analytic network process. Operations Research, 46(4), 491-502.
37. Saaty, T. L., (1999). Fundamentals of the analytic network process. ISAHP 1999. Kobe, Japan
38. Saaty, T. L. (2001). Decision making with dependence and feedback: The ANP. Pittsburgh: RWS Publications, 4922 Ellsworth Avenue, Pittsburgh, PA 15123, USA
39. Saaty, R. W. (2003). Decision making in complex environment: The analytic hierarchy process (AHP) for decision making and the analytic network process (ANP) for decision making with dependence and feedback. http://www. Superdecisions.com/
40. Sambuc, R., (1975). Fonctions f-floues. Application a' l'aide au diagnostic en pathologie thyroidienne, Ph.D. Thesis, University of Marseille
41. Sarkis, J. (1998). Theory and methodology: Evaluating environmentally conscious business practices. European Journal of Operational Research, 107(1), 159-174.
42. Sarkis, J. (1999). A methodological framework for evaluating environmentally conscious manufacturing programs. Computers & Industrial Engineering, 36, 783-810.
43. Sarkis, J., & Sundarraj, R. P. (2002). Hub location at digital equipment corporation: A comprehensive analysis of qualitative and quantitative factors. European Journal of Operational Research, 137(2), 336-347.
44. Sarkis, J. (2002). A model for strategic supplier selection. Journal of Supply Chain Management, 38, 18-28.
45. Tsai, H. Y., Huang, B. H., &Wang, A. S. (2008). Combining ANP and TOPSIS concepts for evaluation the performance of propertyliability insurance companies. Journal of Social Sciences, 4(1), 56-61.
46. Turksen, I. B. (1996). Interval-valued strict preference with Zadeh triples. Fuzzy Sets and Systems, 78, 183-195.
47. Turksen, I. B. (1986). Interval-valued fuzzy sets based on normal forms. Fuzzy Sets and Systems, 20, 191-210.
48. Turksen, I. B. (1992). Interval-valued fuzzy sets and compensatory. Fuzzy Sets and Systems, 51, 295-307.
49. Ulutas, B. H. (2005). Determination of the appropriate energy policy for Turkey. Energy, 30, 1146-1161.
50. Vahdani, B., Hadipour, H., Sadaghiani, J. H., Amiri, M. (2009). Extension of VIKOR method based on interval-valued fuzzy sets. The International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-009-2241-2
51. Wang, G., & Li, X. (1998). The applications of interval-valued fuzzy numbers and interval-distribution numbers. Fuzzy Sets and Systems, 98, 331-335.
52. Wong, J. T. (2010). DSS for 3PL provider selection in global supply chain: Combining the multi-objective optimization model with experts' opinions. Journal of Intelligent Manufacturing. doi:10. 1007/s10845-010-0398-z
53. Wu, C. R., Lin, C. T., & Chen, H. C. (2007). Integrated environmental assessment of the location selection with fuzzy analytical network process. Quality and Quantity, 43(3), 351-380.
54. Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Transactions on Systems, Man and Cybernetics, 18(1), 183-190.
55. Yüksel, I., & Dagdeviren, M. (2007). Using the analytic network process (ANP) in a SWOT analysis-a case study for a textile firm. Information Sciences, 177(16), 3364-3382.
56. Yurdakul, M. (2003). Measuring long-term performance of a manufacturing firm using the analytical network process (ANP) approach. International Journal of Production Research, 41, 2501-2529.
57. Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Inform. Sci. 8, 301-357(a), 199-249