Modularized Fuzzy Ranking Methods and Application

碩士 === 國立清華大學 === 工業工程與工程管理學系 === 87 === The comparison or ranking of fuzzy numbers has been a very important topic. Many researchers have proposed different methods for ranking fuzzy numbers. However, there are some limitations or insufficiency on the application of these ranking methods. The objec...

Full description

Bibliographic Details
Main Authors: Juin-Han Chen, 陳君涵
Other Authors: Chen-Fu Chien
Format: Others
Language:en_US
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/64248335678491531079
id ndltd-TW-087NTHU0031033
record_format oai_dc
spelling ndltd-TW-087NTHU00310332016-07-11T04:13:20Z http://ndltd.ncl.edu.tw/handle/64248335678491531079 Modularized Fuzzy Ranking Methods and Application 模組化的模糊排序方法及其應用 Juin-Han Chen 陳君涵 碩士 國立清華大學 工業工程與工程管理學系 87 The comparison or ranking of fuzzy numbers has been a very important topic. Many researchers have proposed different methods for ranking fuzzy numbers. However, there are some limitations or insufficiency on the application of these ranking methods. The objective of this study is to develop a generic framework of fuzzy ranking methods so that the ranking methods can be decomposed into modules and be examined systematically. Thus, the users can choose different modules to generate specific fuzzy ranking method depending on different demands. To examine the feasibility and reliability, we used different ranking methods to illustrate the proposed framework. We also discussed the objectives for developing fuzzy ranking methods and proposed the strategies for improving existing methods and developing new methods. Chen-Fu Chien 簡禎富 1999 學位論文 ; thesis 122 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 87 === The comparison or ranking of fuzzy numbers has been a very important topic. Many researchers have proposed different methods for ranking fuzzy numbers. However, there are some limitations or insufficiency on the application of these ranking methods. The objective of this study is to develop a generic framework of fuzzy ranking methods so that the ranking methods can be decomposed into modules and be examined systematically. Thus, the users can choose different modules to generate specific fuzzy ranking method depending on different demands. To examine the feasibility and reliability, we used different ranking methods to illustrate the proposed framework. We also discussed the objectives for developing fuzzy ranking methods and proposed the strategies for improving existing methods and developing new methods.
author2 Chen-Fu Chien
author_facet Chen-Fu Chien
Juin-Han Chen
陳君涵
author Juin-Han Chen
陳君涵
spellingShingle Juin-Han Chen
陳君涵
Modularized Fuzzy Ranking Methods and Application
author_sort Juin-Han Chen
title Modularized Fuzzy Ranking Methods and Application
title_short Modularized Fuzzy Ranking Methods and Application
title_full Modularized Fuzzy Ranking Methods and Application
title_fullStr Modularized Fuzzy Ranking Methods and Application
title_full_unstemmed Modularized Fuzzy Ranking Methods and Application
title_sort modularized fuzzy ranking methods and application
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/64248335678491531079
work_keys_str_mv AT juinhanchen modularizedfuzzyrankingmethodsandapplication
AT chénjūnhán modularizedfuzzyrankingmethodsandapplication
AT juinhanchen mózǔhuàdemóhúpáixùfāngfǎjíqíyīngyòng
AT chénjūnhán mózǔhuàdemóhúpáixùfāngfǎjíqíyīngyòng
_version_ 1718342596333404160