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Multi-level Linguistic Fuzzy Decision Network Hierarchical Structure Model for MCDM

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Intelligent Computing Methodologies (ICIC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8589))

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Abstract

Linguistic Fuzzy Decision network (LFDN) method is an extension of Fuzzy Decision Map (FDM) for solving Multi-Criteria Decision Making problems (MCDM) in fuzzy environment having dependence and feedback among criteria. On the other hand, LFDN can’t handle the complex decision making problem, particularly with the multi-level hierarchical structure model that consists of objectives, criteria, sub-criteria, etc. down to the bottom level (alternatives). The main objective of this paper is to develop the LFDN structure to be able to select a decision for multi-level structure problems. So the multi-level structure of LFDN is the general form of LFDN. Therefore, it can use for ranking alternatives and selecting the best one when the decision maker has multiple criteria. A case study was carried out to demonstrate the proposed model.

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References

  1. Zhenghai, A.: A new TOPSIS with triangular fuzzy number and uncertain weight based on cosines similar degree. In: Eighth International Conference on Computational Intelligence and Security (CIS), pp. 17–21. IEEE Computer Society, Washington, DC (2012)

    Google Scholar 

  2. Kou, G., Miettinen, K., Shi, Y.: Multiple criteria decision making: challenges and advancements. Journal of Multi-Criteria Decision Analysis 18, 1–4 (2011)

    Article  Google Scholar 

  3. Saaty, T.L.: The analytic hierarchy process. McGraw-Hill, New York (1980)

    MATH  Google Scholar 

  4. Saaty, T.L.: Decision making with dependence and feedback: The Analytic Network Process. RWS Publications, Pittsburgh (1996)

    Google Scholar 

  5. Yu, R., Tzeng, G.H.: A Soft Computing Method for Multi-criteria Decision Making with dependence and feedback. In: Applied Mathematics and Computation, vol. 180, pp. 63–75 (2006)

    Google Scholar 

  6. Elomda, B.M., Hefny, H.A., Hassan, H.A.: An Extension of fuzzy Decision Maps for Multi-criteria Decision-making. Egyptian Informatics Journal 14, 147–155 (2013)

    Article  Google Scholar 

  7. Elomda, B.M., Hefny, H.A., Hassan, H.A.: MCDM method Based on Improved Fuzzy decision map. In: IEEE International Conference on Electronics, Circuits, and Systems (ICECS 2013), Abu Dhabi, UAE, December 8-11, pp. 225–228 (2013)

    Google Scholar 

  8. Kosko, B.: Fuzzy cognitive maps. International Journal on Man–Machine Studies 24(1), 65–75 (1986)

    Article  MATH  Google Scholar 

  9. Axelrod, R.: Structure of decision: The Cognitive Maps of Political Elites. Princeton University Press, Princeton (1976)

    Google Scholar 

  10. Elomda, B.M., Hefny, H.A., Hassan, H.A.: Fuzzy Cognitive Map with Linguistic Values. In: IEEE International Conference on Engineering and Technology (ICET 2014), Cairo, Egypt, April 19-20 (2014)

    Google Scholar 

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Elomda, B.M., Hefny, H.A., Hazman, M., Hassan, H.A. (2014). Multi-level Linguistic Fuzzy Decision Network Hierarchical Structure Model for MCDM. In: Huang, DS., Jo, KH., Wang, L. (eds) Intelligent Computing Methodologies. ICIC 2014. Lecture Notes in Computer Science(), vol 8589. Springer, Cham. https://doi.org/10.1007/978-3-319-09339-0_22

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  • DOI: https://doi.org/10.1007/978-3-319-09339-0_22

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09338-3

  • Online ISBN: 978-3-319-09339-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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