A Linguistic-Valued Approximate Reasoning Approach for Financial Decision Making
- DOI
- 10.2991/ijcis.2017.10.1.21How to use a DOI?
- Keywords
- Linguistic Truth-Valued Lattice Implication Algebra; Approximate Reasoning; Decision Making; Linguistic-Valued Similarity
- Abstract
In order to process the linguistic-valued information with uncertainty in the financial decision- making, the present work uses a lattice-valued logical algebra - lattice implication algebra to deal with both comparable and incomparable linguistic truth-values. A new personal financial decision auxiliary modeling framework based on the lattice-ordered linguistic truth-valued logic is proposed. The concepts of linguistic-valued similarity and linguistic valued degree assignment function are introduced, and then a linguistic-valued approximate reasoning approach for financial decision making is presented. A case study is then provided which illustrates that the proposed approach is more flexible and effective with handling the financial decision-making problem involved with linguistic-valued information with uncertainty.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
Download article (PDF)
View full text (HTML)
Cite this article
TY - JOUR AU - Xin Liu AU - Ying Wang AU - Xiaonan Li AU - Li Zou PY - 2017 DA - 2017/01/01 TI - A Linguistic-Valued Approximate Reasoning Approach for Financial Decision Making JO - International Journal of Computational Intelligence Systems SP - 312 EP - 319 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.21 DO - 10.2991/ijcis.2017.10.1.21 ID - Liu2017 ER -