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Extended Induced Ordered Weighted Averaging Distance Operators And Their Application To Group Decision-Making

Author

Listed:
  • SHOUZHEN ZENG

    (College of Computer and Information, Zhejiang Wanli University, Ningbo, 315100, China)

  • WEI LI

    (College of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China)

  • JOSÉ M. MERIGÓ

    (Department of Business Administration, University of Barcelona, Av. Diagonal 690, 08034 Barcelona, Spain)

Abstract

The induced ordered weighted averaging distance (IOWAD) approach is very suitable in situations in which the available information is represented with exact numerical values. In this paper, we develop some extended IOWAD operators: the linguistic induced ordered weighted averaging distance (LIOWAD) operator, the uncertain induced ordered weighted averaging distance (UIOWAD) operator and the fuzzy induced ordered weighted averaging distance (FIOWAD) operator. Their main objective is to assess uncertain situations in which the available information is given in the form of linguistic variables, interval numbers and fuzzy numbers. Some special cases of these three new extensions are studied. Finally, we develop an application of the new operators in a group decision-making problem under an uncertain environment and illustrate it with a numerical example.

Suggested Citation

  • Shouzhen Zeng & Wei Li & José M. Merigó, 2013. "Extended Induced Ordered Weighted Averaging Distance Operators And Their Application To Group Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 789-811.
    • Handle: RePEc:wsi:ijitdm:v:12:y:2013:i:04:n:s0219622013500296
    DOI: 10.1142/S0219622013500296
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    Cited by:

    1. Yanting Chen & Zhaoxia Liu & Jacques Régnière & Liette Vasseur & Jian Lin & Shiguo Huang & Fushi Ke & Shaoping Chen & Jianyu Li & Jieling Huang & Geoff M. Gurr & Minsheng You & Shijun You, 2021. "Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest," Nature Communications, Nature, vol. 12(1), pages 1-11, December.

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