Identification and classification of discrete multi-criteria decision making (MADM) techniques using MCDM methods

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Multi-criteria decision making is a promising framework for evaluating multidimensional, contradictory and inconsistent issues. Man makes many decisions in his daily life. These decisions range from personal and individual issues to big issues. In most decision-making issues, there are generally several goals and factors, and the decision-maker tries to choose the best option between several available options (limited or unlimited). Humans inadvertently make a large number of such decisions around the clock, some of which require more careful consideration due to the high cost of error. Decision making in complex unstable environments is often one of the most important issues. In these cases, decision makers are faced with different options that are affected by various criteria, including the internal and external environment of the organization, in which case the use of multi-criteria decision models as effective tools for decision-making are appropriate. Multi-criteria decision making is an important part of modern decision-making knowledge. These topics are widely used in various fields such as: social, economic, military, managerial, etc. In this article, we have tried to use the SAW method and also according to the opinion of experts to the specified indicators, with two components: a) ease of calculation and b) frequency of use, and assigning a weight of 0.5 to each of the indicators. In other words, fewer steps and ease of calculations with the rate of repetition and application of a particular method in various interactions and research that are of equal importance, we have been able to identify decision-making techniques by MADM method and Then categorize.

Language:
Persian
Published:
Journal of New research approaches in management and accounting, Volume:4 Issue: 41, 2020
Pages:
115 to 133
https://magiran.com/p2179700  
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