نتایج جستجو برای: topsis and linmap decision making
تعداد نتایج: 16881474 فیلتر نتایج به سال:
the multi-criteria decision making model is an important tool for decision making in water resource management. in this paper, the topsis model was used to rank seven flood management options in the gorganrood river flood management project, including conservation of natural condition, golestan reservoir management, levee construction, diversions-channel construction, flood forecasting and warn...
The purpose of this article is twofold: first to introduce a multi attribute decision making model for radio frequency identification system consisting of four main criteria and five alternatives, and second to develop and solve the proposed fuzzy TOPSIS problem. Author presented an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ...
Öz Supplier evaluation and selection includes both qualitative and quantitative criteria and it is considered as a complex Multi Criteria Decision Making (MCDM) problem. Uncertainty and impreciseness of data is an integral part of decision making process for a real life application. The fuzzy set theory allows making decisions under uncertain environment. In this paper, a trapezoidal type 2 fuz...
An Improvement of Extend TOPSIS (IE-TOPSIS) method is presented for Armament System of Systems (ASoS) selection. In this paper, ASoS selection problem is a multiple criteria decision-making problem. Because determining the specific value of the attribute for each ASoS is difficult, the criteria score is considered as interval vague value. The IETOPSIS method can deal with the interval data valu...
Due to increased demands of production capacity and higher quality requirements, industries are automating at a fast pace. Industrial robots an important component the industrial automation ecosystem. However, selection appropriate is challenging task due sheer number alternatives present their varied specifications. The various characteristics or attributes that need consideration before optim...
-This paper proposes a grey interval relation TOPSIS method for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. In this paper, all of the subjective and objective weights are obtained by interval grey number and decision-making is based on four methods such as the relative approach degree of grey TOPSIS, the relative approac...
The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve...
The interval neutrosophic uncertain linguistic variables can easily express the indeterminate and inconsistent information in real world, and TOPSIS is a very effective decision making method more and more extensive applications. In this paper, we will extend the TOPSIS method to deal with the interval neutrosophic uncertain linguistic information, and propose an extended TOPSIS method to solve...
In this paper, one of the multi-criteria models in making decision, a Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), is described. Some of the advantages of TOPSIS methods are: simplicity, rationality, comprehensibility, good computational efficiency and ability to measure the relative performance for each alternative in a simple mathematical form. The paper has a r...
0957-4174/$ see front matter 2012 Elsevier Ltd. A http://dx.doi.org/10.1016/j.eswa.2012.05.056 ⇑ Corresponding author. E-mail address: [email protected] (M. Beh Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among ...
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