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A Learning Algorithm for Level Sets Weights in Weighted Level-based Averaging Method

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Abstract

The method which we call the Weighted Averaging Based on Levels (WABL) can be used to calculate the average representative of a fuzzy number. It utilizes weight coefficients for the level sets as well as the sides of a fuzzy number. We have developed an algorithm to obtain these coefficients. The most remarkable feature of this algorithm is that it makes use of the decision maker’s (DM) aggregation strategy.

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Authors and Affiliations

  1. Institute of Cybernetics, NAS of Azerbaijan, Turkey

    Efendi N. Nasibov

  2. Department of Statistics, Faculty of science, Ege University, 35100, Izmir, Turkey

    Onur Baskan & Ali Mert

Authors
  1. Efendi N. Nasibov
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  2. Onur Baskan
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  3. Ali Mert
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Correspondence to Efendi N. Nasibov.

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Nasibov, E.N., Baskan, O. & Mert, A. A Learning Algorithm for Level Sets Weights in Weighted Level-based Averaging Method. Fuzzy Optim Decis Making 4, 279–291 (2005). https://doi.org/10.1007/s10700-005-3664-3

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  • DOI: https://doi.org/10.1007/s10700-005-3664-3

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