DECISION ANALYSIS USING IC-BAGS

Author:

CHAKRABARTY KANKANA1

Affiliation:

1. School of Mathematics, Statistics & Computer Science, The University of New England, Armidale-2351, New South Wales, Australia

Abstract

In this paper, we discuss the notion of IC-Bags as introduced by the author, some issues related to IC-Bag based systems and their application in decision analysis. Sometimes it is observed that the semi-structured or unstructured nature of the problems addressed by expert systems can be perceived as the cause for the inability to develop precise requirement specifications. IC-Bags can serve as a tool for building rule-based decision analysis systems which can deal with situations where the count of the objects are not necessarily fixed. We discuss the semi-structured specifications involving maximum and minimum numbers of applications related to the problem-oriented methodology for the integrated problems involving IC-Bags. In this context, the total bias factor and the confidence level of the knowledge base are considered.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous),Computer Science (miscellaneous)

Reference5 articles.

1. K. Chakrabarty, Advances in Soft Computing: Soft Computing Techniques and Applications (Physica-Verlag, 1999) pp. 201–212.

2. Fuzzy shadows

3. ON THE THEORY OF BAGS

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1. On M-Type Bag Structures;Intelligent Computing Theories;2013

2. The notion of intuitionistic fuzzy IC-bags;Foundations of Computing and Decision Sciences;2012-10-01

3. A Note on the Effect of Knowledge Refinement on Bag Structures;Lecture Notes in Computer Science;2010

4. nk-bags;International Journal of Intelligent Systems;2006

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