基础(线性代数)
排名(信息检索)
模糊逻辑
一致性(知识库)
理想溶液
数学优化
偏爱
先验与后验
数学
构造(python库)
理想(伦理)
模糊数
选择(遗传算法)
计算机科学
模糊集
人工智能
统计
离散数学
认识论
物理
哲学
热力学
程序设计语言
几何学
作者
Shu‐Ping Wan,Deng‐Feng Li
出处
期刊:Omega
[Elsevier]
日期:2012-12-20
卷期号:41 (6): 925-940
被引量:192
标识
DOI:10.1016/j.omega.2012.12.002
摘要
Multiattribute decision making (MADM) with multiple formats of information, which is called heterogeneous MADM for short, is very complex and interesting in applications. The purpose of this paper is to extend the Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) for solving heterogeneous MADM problems which involve intuitionistic fuzzy (IF) sets (IFSs), trapezoidal fuzzy numbers (TrFNs), intervals and real numbers. In this method, DM's preference is given through pair-wise comparisons of alternatives with hesitation degrees which are represented as IFSs. The IF consistency and inconsistency indices are defined on the basis of pair-wise comparisons of alternatives. Each alternative is assessed on the basis of its distance to a fuzzy ideal solution (FIS) unknown a priori. Based on the defined IF consistency and inconsistency indices, we construct a new fuzzy mathematical programming model, which is solved by the developed method of fuzzy mathematical programming with IFSs. Once the FIS and the attribute weights are obtained, we can calculate the distances of all alternatives to the FIS, which are used to determine the ranking order of the alternatives. A supplier selection example is presented to demonstrate the validity and applicability of the proposed method.
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