Journal
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
Volume 55, Issue 3, Pages 853-866Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ijar.2013.10.002
Keywords
Cognitive process; Cognitive system; Formal concept analysis; Information granules
Categories
Funding
- Natural Science Foundation of China [61105041]
- National Natural Science Foundation of CQ CSTC [cstc2013jcyjA40051]
- Science and Technology Program of Chongqing University of Technology [YCX2012203]
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In this paper, a novel cognitive system model is established based on formal concept analysis to exactly describe human cognitive processes. Two new operators, extent-intent and intent-extent, are introduced between an object and its attributes. By analyzing the necessity and sufficient relations between the object and some of its attributes, the information granule concept is investigated in human cognitive processes. Furthermore, theories of transforming arbitrary information granule into necessary, sufficient, sufficient and necessary information granules are addressed carefully. Algorithm of the transformation is constructed, by which we can provide an efficient approach to the conversion among information granules. To interpret and help understand the theories and algorithm, an experimental computing program is designed and two cases is employed as case study. Results of the small scale case are calculated by the method presented in this paper. The large-scale case is calculated by the experimental computing program and validated by the proposed algorithm. The considered framework can provide a novel convenient tool for artificial intelligence researches. Crown Copyright (C) 2013 Published by Elsevier Inc. All rights reserved.
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