Paired structures in knowledge representation

作者：

Highlights：

• An opposite-based approach to fuzzy modeling is presented as a unifying view to basic knowledge representation.

• We claim that paired concepts are the basic building blocks for knowledge representation.

• We claim the term paired fuzzy sets is not subject to potential conflict with other related theories.

• We claim that neutrality arises from the semantic relationship between those paired concepts.

• We show that valuation of paired concepts and neutrality through paired structures can naturally evolve into more complex valuation scales.

摘要

•An opposite-based approach to fuzzy modeling is presented as a unifying view to basic knowledge representation.•We claim that paired concepts are the basic building blocks for knowledge representation.•We claim the term paired fuzzy sets is not subject to potential conflict with other related theories.•We claim that neutrality arises from the semantic relationship between those paired concepts.•We show that valuation of paired concepts and neutrality through paired structures can naturally evolve into more complex valuation scales.

论文关键词：Knowledge representation,Paired structures,Neutral concepts,Bipolarity

论文评审过程：Received 7 August 2015, Revised 22 December 2015, Accepted 6 February 2016, Available online 18 February 2016, Version of Record 2 April 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.02.003