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Generalized uni–int decision making schemes based on choice value soft sets

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  • Feng, Feng
  • Li, Yongming
  • Çağman, Naim

Abstract

This paper aims to improve and further extend Çağman and Enginoğlu’s uni–int decision making method. We first define choice value soft sets and k-satisfaction relations. Using these new notions, we give deeper insights into the principle of uni–int decision making and show its limitations. We then propose several new soft decision making schemes, including the uni–intk, uni–intst and intm−intn decision making methods. We show that classical uni–int decision making is a special case of the uni–intst decision making method. Furthermore, we present a new decision scheme based on intm−intn decision making, which substantially improves the classical uni–int decision making approach.

Suggested Citation

  • Feng, Feng & Li, Yongming & Çağman, Naim, 2012. "Generalized uni–int decision making schemes based on choice value soft sets," European Journal of Operational Research, Elsevier, vol. 220(1), pages 162-170.
    • Handle: RePEc:eee:ejores:v:220:y:2012:i:1:p:162-170
    DOI: 10.1016/j.ejor.2012.01.015
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    Cited by:

    1. Feng Feng & Meiqi Liang & Hamido Fujita & Ronald R. Yager & Xiaoyan Liu, 2019. "Lexicographic Orders of Intuitionistic Fuzzy Values and Their Relationships," Mathematics, MDPI, vol. 7(2), pages 1-26, February.

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