Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/6207| 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 9789380026954 |
Fields of Research (FoR) 2008: | 080611 Information Systems Theory | Socio-Economic Objective (SEO) 2008: | 890205 Information Processing Services (incl. Data Entry and Capture) | HERDC Category Description: | B1 Chapter in a Scholarly Book | Publisher/associated links: | http://books.google.com/books?id=MRGJN7GI42IC&lpg=PR1&pg=PA888 http://www.amazon.com/Computer-Vision-Information-Technology-Applications/dp/9380026951 |
Editor: | Editor(s): K V Kale, S C Mehrotra, R R Manza |
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| Appears in Collections: | Book Chapter School of Science and Technology |
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