A heuristic algorithm for computing the max–min inverse fuzzy relation
P. Saha,Amit Konar +1 more
32
TL;DR: The paper employs a heuristic function to reduce the search space for finding the solution of the classical problem of computing approximate max–min inverse fuzzy relation, an NP-complete problem for which no polynomial time algorithm is known.
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About: This article is published in International Journal of Approximate Reasoning. The article was published on 01 Sep 2002. and is currently open access. The article focuses on the topics: Min-conflicts algorithm & Time complexity.
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Citations
A heuristic algorithm for computing the max–min inverse fuzzy relation
P. Saha,Amit Konar +1 more
TL;DR: The paper employs a heuristic function to reduce the search space for finding the solution of the classical problem of computing approximate max–min inverse fuzzy relation, an NP-complete problem for which no polynomial time algorithm is known.
33
An Efficient Algorithm to Computing Max–Min Inverse Fuzzy Relation for Abductive Reasoning
Sumantra Chakraborty,Amit Konar,Lakhmi C. Jain +2 more
- 01 Jan 2010
TL;DR: The principle of fuzzy abduction is extended with the proposed inverse formulation, and the better relative accuracy of the said abduction over existing works is established through illustrations with respect to a predefined error norm.
27
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Lidia Ghosh,Sricheta Parui,Pratyusha Rakshit,Amit Konar +3 more
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TL;DR: Experiments undertaken reveal that the erro metric could successfully be used to diagnose two peopl suffering from Parkinson and three from the early Alzheimer' diseases among a total population of 50 healthy plus 5 brain diseased people.
11
Introduction to computational intelligence paradigms
Z. Chen,A. M. Fanelli,Giovanna Castellano,Lakhmi C. Jain +3 more
- 01 Jan 2001
TL;DR: Computational intelligence techniques involve the use of computers to enable machines to simulate human performance as mentioned in this paper, such as AI systems, artificial neural networks, multimedia, fuzzy logic, evolutionary computing techniques, artificial life, computer vision, adaptive intelligence, and chaos engineering.
10
Algebraic formulae for solving systems of max-min inverse fuzzy relational equations
TL;DR: In this paper , the problem of solving the system of inverse fuzzy relational equations with max-min composition is solved by solving the well-known problems of fuzzy abductive/backward reasoning.
9
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