Open AccessAn empirical study on assessing optimal type of distribution park: Applying fuzzy multicriteria Q-analysis method
Author(s) -
Kuo-Liang Lee,
Shin-Yi Lin
Publication year - 2012
Publication title -
yugoslav journal of operations research/yugoslav journal of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.221
H-Index - 21
eISSN - 2334-6043
pISSN - 0354-0243
DOI - 10.2298/yjor101212001l
Subject(s) - fuzzy logic , computer science , measure (data warehouse) , mathematical optimization , data mining , empirical research , mathematics , artificial intelligence , statistics
In this paper, through an empirical study it is explored how respondents viewed suitable modes on locations for developing a distribution park. A fuzzy multiple criteria Q-analysis (MCQA) method is used to empirically evaluate location development for suitable types of international distribution park. The fuzzy MCQA method integrates MCQA, a fuzzy measure method and a fuzzy grade classification method. This improves the constraints evaluated by decision-makers, resulting in an explicit result value for each criterion to be evaluated, greatly decreasing the complexity of the evaluation process and preserving the advantages of the traditional MCQA method