期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 83, 期 -, 页码 350-362出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2017.04.049
关键词
Multi-criteria decision-taking; Linguistic labels; Variable expressive richness; 2-tuple representation; Linguistic TOPSIS model
类别
资金
- European Regional Development Fund (ERDF) [TIN2016-75850-R, TIN2016-79484-R, TIN2013-40658-P]
In general, traditional decision-making models are based on methods that perform calculations on quantitative measures. These methods are usually applied to assess possible solutions to a problem, resulting in a ranking of alternatives. However, when it comes to making decisions about qualitative measures - such as service quality-, the quantitative assessment is a bit difficult to interpret. Therefore, taking into account the maturity of the linguistic assessment models, this paper puts forth a new solution proposal. It is a decision-making model that uses linguistic labels -represented with the 2-tuple notation- and a variable expressive richness when providing output results. This solution allows expressing results in a manner closer to the human cognitive system. To achieve this goal, a mechanism has been implemented for measuring the distance among the aggregate ratings, providing the decision-maker with a fast and intuitive answer. The proposal is illustrated with an application example based on the TOPSIS model, using linguistic labels throughout the entire process. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据