نتایج جستجو برای: multi attribute decision making (MADM) models

تعداد نتایج: 1818134  

Most of data in a multi attribute decision making (MADM) problem are unstable and changeable, and thus sensitivity analysis can effectively contribute to making proper decisions. Here, we offer a new method for sensitivity analysis of multi-attribute decision making problems so that by changing one element of decision making matrix, we can determine changes in the results of a decision making p...

Abbas Amini Alireza Alinezhad, Azizollah Memariani

Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision ma...

Journal: :natural environment change 2015
mojtaba yamani alireza arabameri

today, environmental crisis and loss of natural resources are the principle causes of the creation of environmental management systems. the optimal management of natural resources requires the assessment and classification of ecological and environmental potentials. using this method, the abilities and restrictions of resources can be recognized, and their future trends can be predicted. nebka ...

Journal: :journal of optimization in industrial engineering 2011
alireza alinezhad abbas amini

most of data in multi-attribute decision making (madm) problems are changeable rather than constant and stable. therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. in this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can deter...

Foroutan, Saba , Sadeghian, Ramin ,

Multiple attribute decision making models which select the best alternative out of all possible alternatives are used in different environments such as community, economy, management, army, etc. In recent years most of the performed researches in multiple attribute decision making’s field have been focused on single period evaluations while the value of attributes may not be fixing during all p...

Abbas Amini Alireza Alinezhad,

Most of data in Multi-attribute decision making (MADM) problems are changeable rather than constant and stable. Therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. In this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can dete...

Journal: :journal of optimization in industrial engineering 2012
alireza alinezhad nima esfandiari

the sensitivity analysis for multi-attribute decision making (madm) problems is important for two reasons: first, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

2005
Zeshui Xu

In this paper, we investigate the multiple attribute decision making (MADM) in uncertain linguistic setting where the information about attribute weights is incompletely known and the attribute values are uncertain linguistic variables, and the decision maker (DM) has preferences on alternatives. We establish two optimization models, which minimize deviations between the overall attribute valu...

Alireza Alinezhad, Nima Esfandiari

The sensitivity analysis for multi-attribute decision making (MADM) problems is important for two reasons: First, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. Second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the ...

2017
Laijun Luo Haiping Ren

Similarity measure is an important tool to measure the degree of resemblance between two intuitionistic fuzzy sets. In this paper, in order to overcome the counter-intuitive in some cases, a new similarity measure of intuitionistic fuzzy sets is constructed and successively applied in pattern recognition and medical diagnosis. Based on the proposed similarity measure, a new decision making meth...

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