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01.10.2018 | Original Paper

The paradigm of induced ordered weighted averaging aggregation process with application in uncertain linguistic evaluation

verfasst von: Lesheng Jin, Radko Mesiar, Ronald R. Yager

Erschienen in: Granular Computing | Ausgabe 1/2020

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Abstract

Induced ordered weighted averaging is a powerful tool in decision making, and different inducing variables generally determine different types of IOWA. The existing studies and applications of IOWA often is non-systematical and decision makers may often be confused with several problems such as how to effectively and fast determine and obtain inducing variable, how to handle the situation where tied values appears for inducing values, and how to more flexibly use IOWA in real applications. In this study, to address those problems, we propose the paradigm of Induced Ordered Weighted Averaging aggregation process. The paradigm includes three major stages, information gathering and preparation, information determination, and information aggregation; and each of those stages also includes several detailed steps. An illustrative instance in journal peer reviewing and evaluating problem, including all detailed steps in the paradigm of IOWA process, is also presented.

Vorheriger Artikel Computation of generalized linguistic term sets based on fuzzy logical algebras for multi-attribute decision making

Nächster Artikel Complex vague contexts analysis using Cartesian product and granulation

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Titel: The paradigm of induced ordered weighted averaging aggregation process with application in uncertain linguistic evaluation
verfasst von: Lesheng Jin
Radko Mesiar
Ronald R. Yager
Publikationsdatum: 01.10.2018
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 1/2020
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-018-0135-0

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