Papers by Mohammad Azadfallah
Engineering and Scientific International Journal, 2021
One of the interesting features of Multi-Criteria Decision Making/ Multiple Attribute Decision Ma... more One of the interesting features of Multi-Criteria Decision Making/ Multiple Attribute Decision Making (MCDM/ MADM) is that a number of techniques that can be used to solve the same problem. In general, three common categories of decision problems are choice problem, ranking problem, and sorting problem. While, the issue of choice and ranking problems is more emphasized in MCDM/ MADM, but the literature weakly consider sorting problems. Several solutions for the above problem are suggested (i.e., Flow sort, AHP-Sort, ELECTRE Tri, etc.). Theoretically, there is no reason to be limited to these techniques. Hence, in this paper we propose a novel multi-criteria sorting method that is based on Chebyshev's theorem. More specifically, different from other studies on MCDM sorting problems, which put more emphasis on the extension of new models, this work attempts to present a general framework using the Chebyshev's inequality, to transform the results of conventional MCDM models from ranking format to sort mode. Finally, the proposed approach is compared with three existed models. Compared results show that the proposed method is efficient and the results are stable.
International Journal of Management Research and Social Science , 2021
Election is the main challenge to the political and social science. In the meantime, in the liter... more Election is the main challenge to the political and social science. In the meantime, in the literature, several methods to decide the winner of elections have been proposed; theoretically there is no reason to be limited to these models. Hence, in this paper, we assume three new approaches (1. election result prediction by pre-election preference information using Markov chain model [to identify the efficient electoral strategy for each candidate]. 2. Improved Borda's function method using the weights of decision makers [or voters]. And 3. A new interval TOPSIS-based approach applying ordinal set of preferences [so, data is ordinal form that first convert to interval value and then inject them into the conventional interval TOPSIS model]) for ranking candidates in voting systems. Ultimately, three numerical examples in social choice context are given to depict the feasibility and practability of the proposed methods. In sum, this paper suggests a mind line for decreasing the wrong choice winner risks correlated with voting systems.
A Novel Method to Assign Weights to Decision Makers for each Criterion in Group Decision Making Under Multiple Criteria with Crisp and Interval Data
International Journal of Applied Management Sciences and Engineering
This article focuses on determining the weights of decision makers (DMs) in multi-criteria group ... more This article focuses on determining the weights of decision makers (DMs) in multi-criteria group decision making (MCGDM) environments with both crisp and interval data, in which the weights of DMs are derived from the decision matrices and DMs, have different weights for different criteria. In order to determine the optimal weights of DMs for each criterion, a new TOPSIS-based approach is introduced. In the proposed method, the DMs weight for each criterion is depends on the distances from each individual group member decision to the positive and negative ideal solution. In other words, the DM has a large weight if his/ her decision information is close (far) to the positive (negative) ideal solution, and has a small weight if his/ her decision information is far (close) from the positive (negative) ideal solution. Finally, a numerical example is given to demonstrate the feasibility of the developed methods.
International Journal of Marketing and Business Communication, 2017
Missing data (also often called incomplete information) is a common problem in consumer choice. W... more Missing data (also often called incomplete information) is a common problem in consumer choice. While some authors claim that a tendency to give more weight to attributes on which all considered options have values relative to attributes for which not all options have values. Therefore, choosing from sets with missing information can affect buyers' taste and purchase decisions. Moreover, it can lead to poor decision making by marketers and policymakers. In the present paper, to resolve this limitation, a new hybrid Multi Criteria Decision Making (MCDM/ particularly, TOPSIS method) and mathematical approach (for finding the missing data) is proposed. Tamaddon, Jahanshahloo, Lotfi, Mozaffaari, and Gholami (2009) developed the mathematical formulations for finding the missing data in the Data Envelopment Analysis (DEA) environment. In this paper, we focus our attention on the innovative combination of TOPSIS and proposed method initiated by Tamaddon et al. (2009) and its uses in the consumer choice problem in the presence of incomplete information. In the proposed method, input and output factors play the role of cost and benefit respectively. In addition, comparative analysis has been performed, and the proposed method seems to be more satisfactory than the traditional method (ignoring and discarding missing data) in solving decision problem. The paper concludes with limitations and further research directions.
Supplier selection is a multiple criteria decision-making (MCDM) problem, which is affected by se... more Supplier selection is a multiple criteria decision-making (MCDM) problem, which is affected by several conflicting factors. When alternatives are compared on several criteria and their weight aggregated, their ranks can change when alternatives are added or deleted. If a method does allow it to happen, the validity of the method could be questioned. However, some recent studies showed that rank reversals could also happen because people may reverse their preferences caused by some emotional feelings, like regret and rejoicing. Some experimental studies confirm that for most individuals regret has the greater impact. Therefore, the application of the new MCDM method based on regret in supplier selection problem is the aim of this paper. The result (in consistent to published studies: Wang, 2008) showed that the emotional feeling (regret) can greatly influenced in people preferences.
One of the negative effects of cooperation with poor suppliers is damaging the brand image, where... more One of the negative effects of cooperation with poor suppliers is damaging the brand image, whereas the poor suppliers do not accept the responsibility of those damages. In this paper, to resolve this limitation, a new MADM approach (Weighted Product Model) is proposed. The Weighted Product Model (WPM) is an effective approach in dealing with this kind of decision problem, because in the proposed approach, system with poor performance in some attributes is penalised more heavily. Therefore, the application of the WPM in supplier selection field is the aim of this paper. The main findings of this study confirm the effectiveness of the proposed models.
A New MADM Approach to Ranking Suppliers based on Performance
Journal of Supply Chain Management Systems, 2015
A New MADM Approach in Building Consensus in Delphis Technique
Journal of Applied Information Science, 2015
The Extraction of Expert Weights from Pair Wise Comparisons in Delphi Method
Journal of Applied Information Science, 2015
A new approach in group decision-making based on pairwise comparisons
J. for International Business and Entrepreneurship Development, 2015
In the current literature, supplier selection is an important Multi Attribute Group Decision Maki... more In the current literature, supplier selection is an important Multi Attribute Group Decision Making (MAGDM) problem which heavily contributes to the overall supply chain performance. Several solutions for the above problem are proposed. In this paper, TOPSIS and Borda's function approach, which is one of these methods, is discussed. So that, in the present model, first TOPSIS is used to find the individual preference ordering. Then, Borda's function is used to find the collective preference orderings. Finally, a simple example is provided in order to demonstrate its applicability and effectiveness of the proposed method.
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Papers by Mohammad Azadfallah