Intelligent Decision Support Algorithm Based on Self-Adaption Reasoning

  • Guomin Chen
  • Yingwei Jin
  • Huili Wang
  • Shuo Cao

Abstract

This paper analyzes the logic deduction and reasoning techniques used in several intelligent decision support algorithms, and proposes a flexible planning method GARIv using fuzzy descriptive logic in media enterprise management. Combined with experiments, the above methods are illustrated in terms of effectiveness and feasibility. In the end, the challenges and possible solutions of intelligent decision support algorithms with self-adaption reasoning are discussed.

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Published
2017-12-04
How to Cite
CHEN, Guomin et al. Intelligent Decision Support Algorithm Based on Self-Adaption Reasoning. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 12, n. 6, p. 803-812, dec. 2017. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2898>. Date accessed: 04 july 2020. doi: https://doi.org/10.15837/ijccc.2017.6.2898.

Keywords

intelligent decision support, propositional logic, non-monotonic logic, descriptive logic, fuzzy logic, automatic reasoning.