A Linguistic-Valued Approximate Reasoning Approach for Financial Decision Making
Xin Liu, Ying Wang, Xiaonan Li, Li Zou · International Journal of Computational Intelligence Systems · 2016
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.