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Title: Exploiting collective knowledge with three-way decision theory: cases from the questionnaire-based research
Authors: Cabitza, Federico
Ciucci, Davide
Locoro, Angela
Issue Date: 2017
Publisher: Elsevier
Bibliographic citation: Cabitza Federico, Ciucci Davide, Locoro Angela (2017), Exploiting collective knowledge with three-way decision theory: cases from the questionnaire-based research. In: International journal of approximate reasoning, vol. 83, April 2017, p. 356-370. ISSN 0888-613X. E-ISSN 1873-4731. DOI 10.1016/j.ijar.2016.11.013.
Abstract: Two methods are proposed for collective knowledge extraction from questionnaires with ordinal scales and dichotomous questions. Both methods are based on a three-way decision procedure and a statistical method aimed at attaining statistical significance of the above decision. One method is aimed at giving an (absolute) assessment of “objects” according to a given “criterion” and the other one at producing a relative ranking of the “objects”. A criterion can be related to one or more questionnaire items (usually questions or statements). In this latter case a method to compose ordinal items in aggregate scores is also given. The paper also presents two various case studies that illustrate the methods and give motivations for their application in different domains where the knowledge of a community or any distributed group of experts can be externalized (in terms of users' perceptions, attitudes, opinions, choices) with a structured closed-ended questionnaire.
Journal/Book: International journal of approximate reasoning
ISSN: 0888-613X
Appears in Collections:Contributo in rivista

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