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|Title:||Decision Modeling and Bags||Contributor(s):||Chakrabarty, Kankana (author)||Publication Date:||2009||Handle Link:||https://hdl.handle.net/1959.11/6207||Abstract:||This paper discusses the notions of 'fuzzy bags', 'IC-Bags' and 'IF-Bags' in the context of semistructured decision modeling where the redundancy of the objects in the collection behaves like a functional property of the objects. These types of generalized bags are appropriate for modeling and quantifying human intuitionist behavior and hesitation factors associated with the modeling procedure. The analysis reveals the potential difference between the observed and the abstract levels of judgement and belief.||Publication Type:||Book Chapter||Source of Publication:||Computer Vision and Information Technology Advances and Applications, p. 888-893||Publisher:||I K International Publishing House Pvt Ltd||Place of Publication:||New Delhi, India||ISBN:||9380026951
|Field of Research (FOR):||080611 Information Systems Theory||HERDC Category Description:||B1 Chapter in a Scholarly Book||Other Links:||http://books.google.com/books?id=MRGJN7GI42IC&lpg=PR1&pg=PA888
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|Appears in Collections:||Book Chapter|
School of Science and Technology
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