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              <text>Clustering Faculty Members fortheBetterment ofResearch Outcomes: A Fuzzy Multi-criteria Decision-Making Approach inTeam Formation</text>
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              <text>From a talent-pool of people, choosing an efficient team is tough. Faculty members of a higher education institution constitute the talent-pool. Teams have to be formed from them so that research output of each team is maximum. Amongst numerous research skills, thirteen are identified as most desirable skills. The level of these thirteen skills, viz., concept articulation, formatting according to templates/style sheets, identifying the relevant literature, initiative, logical reasoning, patience, problem formulation/problem finding, proof reading skills/identifying mistakes in written communication, searching/browsing skills/quick search techniques, sense of positive criticism, statistical knowledge, the ability to stay calm, and written communication skills, varies from person to person. Historical ranking of these skills and self-evaluation of the level of acquisition of these skills is used along with the years of experience, educational qualification, gender, marital status, etc., to rank individual faculty members. The fuzzy ranking of the faculty members thus obtained is used to cluster them into teams that are efficient in complementary skills. Each team thus formed is involved in collaborative research leading to research publication. The model is successfully implemented in a university department with 40 faculty members.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Umme Salma M.; Narayanamoorthy S.; Kureethara J.V.</text>
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              <text>Studies in Fuzziness and Soft Computing, Vol-420, pp. 605-618.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-4929-6_29" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-4929-6_29&lt;/a&gt;
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              <text>ISSN: 14349922</text>
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              <text>Umme Salma M., Christ University, Bangalore, India; Narayanamoorthy S., Bharathiar University, Coimbatore, India; Kureethara J.V., Christ University, Bangalore, India</text>
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