Volume 8, Issue 1, January 2015, Pages 53 - 61
Linguistic-Valued Approximate Reasoning With Lattice Ordered Linguistic-Valued Credibility
Li Zou, Yunxia Zhang, Xin Liu
Received 11 January 2014, Accepted 9 June 2014, Available Online 1 January 2015.
- https://doi.org/10.2991/ijcis.2015.8.1.5How to use a DOI?
- Approximate Reasoning, Knowledge Representation, Linguistic-Valued Credibility Factor, Lattice Implication Algebra
- Linguistic terms are often used to represent the truth degree or credibility degree to manage the uncertainty or imprecision as one of popular ways of knowledge representation in the perception-based decision making problem. This present work represents the credibility of uncertain knowledge using linguistic values. The linguistic-valued credibility is then modeled based on a lattice ordered logical algebra - lattice implication algebra (LIA) and then used in the linguistic-valued based on approximated reasoning. This approach can better express both comparable and incomparable linguistic valued credibility information in knowledge base representation. And it can also fit to approximate reasoning under a fuzzy environment with both comparable and incomparable linguistic credibility. Examples illustrate that the proposed approach can retain the original information and can simulate people's way of thinking through reasoning with words.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Li Zou AU - Yunxia Zhang AU - Xin Liu PY - 2015 DA - 2015/01/01 TI - Linguistic-Valued Approximate Reasoning With Lattice Ordered Linguistic-Valued Credibility JO - International Journal of Computational Intelligence Systems SP - 53 EP - 61 VL - 8 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2015.8.1.5 DO - https://doi.org/10.2991/ijcis.2015.8.1.5 ID - Zou2015 ER -