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A new association coefficient measure for the conflict management and its application in medical diagnosis

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Abstract

Conflicts in the evidence are addressed through various functions based on distance and similarity measure etc. Some complications and irrationality in existing distance measure is an open issue as how to address its conflicting degree. In this paper, we have introduced a new association coefficient measure primarily based on the modification of Jaccard’s similarity matrix with related properties and examples. In this paper, firstly the initial belief functions are constructed by using the fuzzy soft sets and information structure image matrix. Secondly, we used the proposed association coefficient measure to pre-process the initial belief function. Finally, Dempster’s combination rule is implemented to combine the modified belief function and rank the alternatives based on their final belief measure. The study is validated through various examples and a case study in medical diagnosis with the comparison of the existing two methods. The proposed association coefficient is efficient in representing the degree of association between the belief functions and modifying the belief function.

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Authors and Affiliations

  1. Department of Mathematics, Dibrugarh University, Dibrugarh, Assam, India

    Palash Dutta & Bulendra Limboo

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  1. Palash Dutta
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  2. Bulendra Limboo
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Correspondence to Palash Dutta.

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Dutta, P., Limboo, B. A new association coefficient measure for the conflict management and its application in medical diagnosis. Int. j. inf. tecnol. 14, 3767–3779 (2022). https://doi.org/10.1007/s41870-022-01000-0

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