Type 2 Fuzzy Different Equation in No-Data Problem with an Application to the Possibility Factor Analysis

DOI

Bibliographic Information

Other Title
  • ノーデータ問題におけるタイプ2 ファジィ確率微分方程式と その可能性主因子分析への応用

Abstract

Uemura (1991) discovered the mapping formula for Type 1 Vague events and presented an alternative problem as an example of its application. Since it is well known that the alternative problem leads to sequential Bayesian inference, the flow of subsequent research was to make the mapping formula multidimensional, to introduce the concept of time, and to derive a Markov (decision) process. Furthermore, we formulated stochastic differential equations to derive them. (Hori et.al (2019)) This paper refers to type 2 vague events based on a second-order mapping equation. This quadratic mapping formula gives a certain rotation by transforming a non-mapping function by a relation between two mapping functions. In addition, the derivation of the Type 2 Vague Markov process and the possibility factor analysis for the rotation are mentioned, based on the possibility theory.

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Details 詳細情報について

  • CRID
    1390578083319102080
  • DOI
    10.24466/jbfsa.25.1_65
  • ISSN
    24242578
    13451537
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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