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/).

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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  -