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Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent DevelopmentsAugust 2008
Publisher:
  • Springer Publishing Company, Incorporated
ISBN:978-0-387-76812-0
Published:22 August 2008
Pages:
600
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Abstract

In trying to make a satisfactory decision when imprecise and multicriteria situations are involved, a decision maker has to use a fuzzy multicriteria decision making method. "Fuzzy Multi-Criteria Decision Making" (MCDM) presents fuzzy multiattribute and multiobjective decision-making methodologies by distinguished MCDM researchers. In summarizing the concepts and results of the most popular fuzzy multicriteria methods, using numerical examples, this work examines all the fuzzy multicriteria methods recently developed, such as fuzzy AHP, fuzzy TOPSIS, interactive fuzzy multiobjective stochastic linear programming, fuzzy multiobjective dynamic programming, grey fuzzy multiobjective optimization, fuzzy multiobjective geometric programming, and more. Each of the 22 chapters includes practical applications along with new developments/results. This book may be used as a textbook in graduate operations research, industrial engineering, and economics courses. It will also be an excellent resource, providing new suggestions and directions for further research, for computer programmers, mathematicians, and scientists in a variety of disciplines where multicriteria decision making is needed.

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  3. Chu T and Yeh W (2018). Fuzzy multiple criteria decision-making via an inverse function-based total utility approach, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:22, (7423-7433), Online publication date: 1-Nov-2018.
  4. Dayanandan U and Kalimuthu V (2018). Software Architectural Quality Assessment Model for Security Analysis Using Fuzzy Analytical Hierarchy Process (FAHP) Method, 3D Research, 9:3, (1-14), Online publication date: 1-Sep-2018.
  5. Uddin S, Chakravorty S, Ray A and Sherpa K (2018). Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach, International Journal of Decision Support System Technology, 10:2, (65-79), Online publication date: 1-Apr-2018.
  6. Wu D, Liu X, Xue F, Zheng H, Shou Y and Jiang W (2018). A new medical diagnosis method based on Z-numbers, Applied Intelligence, 48:4, (854-867), Online publication date: 1-Apr-2018.
  7. D'Urso M, Masi D, Zuccaro G and Gregorio D (2018). Multicriteria Fuzzy Analysis for a GIS-Based Management of Earthquake Scenarios, Computer-Aided Civil and Infrastructure Engineering, 33:2, (165-179), Online publication date: 1-Feb-2018.
  8. Zheng H, Zhang Y, Zhao J, Liu J and Zeng Q (2018). Applications of Fuzzy Multicriteria Decision Making to Complex Engineering Problems, Advances in Fuzzy Systems, 2018, Online publication date: 1-Jan-2018.
  9. De Mol R, Bronselaer A and De Tr G (2017). Evaluating flexible criteria on uncertain data, Fuzzy Sets and Systems, 328:C, (122-140), Online publication date: 1-Dec-2017.
  10. Yager R (2019). OWA aggregation of multi-criteria with mixed uncertain satisfactions, Information Sciences: an International Journal, 417:C, (88-95), Online publication date: 1-Nov-2017.
  11. Mardani A, Nilashi M, Zakuan N, Loganathan N, Soheilirad S, Saman M and Ibrahim O (2017). A systematic review and meta-Analysis of SWARA and WASPAS methods, Applied Soft Computing, 57:C, (265-292), Online publication date: 1-Aug-2017.
  12. Silva A and Sobral M (2017). Multicriteria Model to Sort Suppliers in a Brazilian Dairy Industry, International Journal of Decision Support System Technology, 9:3, (42-53), Online publication date: 1-Jul-2017.
  13. Kahraman C, Cevik Onar S, Cebi S and Oztaysi B (2017). Extension of information axiom from ordinary to intuitionistic fuzzy sets, Computers and Industrial Engineering, 105:C, (348-361), Online publication date: 1-Mar-2017.
  14. Hafezalkotob A and Hafezalkotob A (2017). Risk-based material selection process supported on information theory, Applied Soft Computing, 52:C, (1116-1129), Online publication date: 1-Mar-2017.
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  16. Roszkowska E and Kacprzak D (2016). The fuzzy saw and fuzzy TOPSIS procedures based on ordered fuzzy numbers, Information Sciences: an International Journal, 369:C, (564-584), Online publication date: 10-Nov-2016.
  17. Gupta P and Tiwari P (2016). Decision Making Approach using Weighted Coefficient of Correlation along with Generalized Parametric Fuzzy Entropy Measure, International Journal of Fuzzy System Applications, 5:3, (30-41), Online publication date: 1-Jul-2016.
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  19. Vicente E, Jiménez-Martín A and Mateos A (2015). Similarity functions for generalized trapezoidal fuzzy numbers, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 28:2, (821-833), Online publication date: 1-Mar-2015.
  20. Ghosh D and Chakraborty D (2014). A new method to obtain fuzzy Pareto set of fuzzy multi-criteria optimization problems, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26:3, (1223-1234), Online publication date: 1-May-2014.
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  22. Lev B (2018). Book Reviews, Interfaces, 39:5, (491-496), Online publication date: 1-Sep-2009.
Contributors
  • Istanbul Technical University

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