Intuitive Factor Space Based on Perception Computing and Application in Criminal Investigation Reasoning

DOI

10.2991/iceeecs-16.2016.131How to use a DOI?

Keywords

Factor space; intuition characteristic; factors discovery; fuzzy reasoning

Abstract

The purpose of this paper is to explore a kind of rational method according with the target selection of human perceptions behaviors: fuzzy perceptions of intuition. Based on intuitive factor space of the human mind for non-optimum perceptions and optimum perceptions, the paper analyses the formation and variation of fuzzy perceptions from the factor neural networks model of intuition process, and present the conception of trust fuzzy sets, then propose that the rational standards of intuition selection is an effective control of intuitive process under intuition index of factor perception (IIFP) conditions, finally design the trust fuzzy computing model. The studies of this paper introduce a new method for in determination fuzzy computing model based on intuitive factor space, and perfect the content of data mapping and intuition inversion.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Weidong Tao
AU  - Ping He
PY  - 2016/12
DA  - 2016/12
TI  - Intuitive Factor Space Based on Perception Computing and Application in Criminal Investigation Reasoning
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 665
EP  - 668
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.131
DO  - 10.2991/iceeecs-16.2016.131
ID  - Tao2016/12
ER  -