✦ LIBER ✦

The fuzzy Delphi method via fuzzy statistics and membership function fitting and an application to the human resources

✍ Scribed by Ping-Teng Chang; Liang-Chih Huang; Horng-Jiun Lin

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 129 KB
Volume: 112
Category: Article
ISSN: 0165-0114
DOI: 10.1016/s0165-0114(98)00067-0

No coin nor oath required. For personal study only.

✦ Synopsis

A new fuzzy Delphi method is proposed. The method employs the fuzzy statistics and technique of the conjugate gradient search to ÿt membership functions. Membership functions besides triangles may be derived for the fuzzy forecasts. A procedure termed as stabilization rather than convergence of the iterative interval-valued surveys is utilized, in which the -level set of the fuzzy forecasts is used. The testing of stability of the process is conducted on the fuzzy forecasts between two consecutive iterations instead of within each iteration. An application of this method to the problem of managerial talent assessment for a company located in Taiwan and the obtained results are provided.

📜 SIMILAR VOLUMES

Fuzzy clustering and consensus methods:

Fuzzy clustering and consensus methods: an application to the analysis of Italian banks

✍ Maria Adele Milioli 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 74 KB 👁 1 views

An interpretation of membership function

An interpretation of membership functions and the properties of general probabilistic operators as fuzzy set operators. (II). Extension to three-valued and interval-valued fuzzy sets

✍ Shigeaki Mabuchi 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 974 KB

Previously in Part 1 of the present paper and its supplement an approach was made to an interpretation of membership functions as probability and a proposal of the probabilistic operators with dependence relation of the sets. This paper is an extension to three-valued and interval-valued fuzzy sets.

Supplement to “An interpretation of memb

Supplement to “An interpretation of membership functions and the properties of general probabilistic operators as fuzzy set operators m Part I”

✍ Shigeaki Mabuchi 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 597 KB

Basic idea of Part 1 of "An interpretation of membership functions and the properties of general probabilistic operators as fuzzy set operators" (1992) mainly on the conceptual construction of membership functions, is straightened out and illustrated by detailed examples. The purpose of this article