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
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
http://www.amazon.com/Computer-Vision-Information-Technology-Applications/dp/9380026951
Statistics to Oct 2018: Visitors: 131
Views: 150
Downloads: 0
Appears in Collections:Book Chapter
School of Science and Technology

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.