A Financial Analysis System on Optimistic-Pessimistic Axis by Intuitive Reasonings
Kyuichiro TANI, Katsuari KAMEI
The purpose of our work is to design a financial analysis system by an intuitive reasoning on an optimistic-pessimistic axis. The intuitive reasoning is totally different from a logical reasoning used in AI and is defined by subjective information such as adjectives high, low, good, bad and etc. A Computer-Aided Financial Analysis Systems (CAFAS) based on fuzzy theory and the intuitive reasonings are a new challenge to computer technology experts and management science specialists.
In this paper, we propose a new financial analysis system based on the intuitive reasonings. Firstly, we describe the intuitive reasonings. Secondly, the intuitive reasoning is applied to financial data. Thirdly, the results of the intuitive reasoning are projected on the optimistic-pessimistic axis. In the projection, fuzzy membership functions for financial analysis are calculated. Finally, practical analyses of four computer enterprises are given in this paper and four membership functions of typical financial condition for financial analysts are shown.