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Soft Pedal and Influence-Based Decision Modelling

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Abstract

Soft pedalling is a real-world problem and it is used to understate the intensity of an issue at hand. Influence models are currently studied by researchers working in the field of social network analysis but they do not incorporate for soft pedalling. The aim of this work is to study the impact of truthfulness of each expert on the final outcome. If the expert is truthful, she will state her opinions in their original form but if she is not truthful, she will soft pedal the situation by understating the intensity of the issue. In underdeveloped countries, real problems are soft pedalled by the powerful to divert attention of the masses. We assert that an expert is truthful if he does not alter his or her initial opinion over a social problem. However, we cater for the realistic problem of soft pedalling by experts and people of power. It is assumed that experts improve and revise their initial opinions over alternatives as they interact with other experts in a group setting. Soft pedalling has an important part to play as this may change the final opinion achieved by experts after the interactive process.

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Acknowledgements

We are thankful to the anonymous reviewers for their time and valuable suggestions.

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Authors and Affiliations

  1. Center for Mathematics and Statistical Sciences, Lahore School of Economics, Lahore, 53200, Pakistan

    Asma Khalid & Ismat Beg

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  1. Asma Khalid
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  2. Ismat Beg
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Correspondence to Asma Khalid.

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Khalid, A., Beg, I. Soft Pedal and Influence-Based Decision Modelling. Int. J. Fuzzy Syst. 21, 620–629 (2019). https://doi.org/10.1007/s40815-018-00600-y

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  • DOI: https://doi.org/10.1007/s40815-018-00600-y

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