A hybrid MCDM approach for evaluating an automobile purchase model

Sakthivel, G.; Ilangkumaran, M.; Nagarajan, G.; Raja, A.; Ragunadhan, P.M.; Prakash, J. Udaya

doi:10.1504/ijids.2013.052017

Cited by 20 publications

(7 citation statements)

References 51 publications

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“…Some of the previous works involving new hybrid MCDM models, TOPSIS, COPRAS, and ARAS, as decisionmaking tools, are briefly described as follows. Sakthivel et al [51] developed two hybrid models combining FAHP with PROMETHEE and GRA to propose the best car alternative. Vinodh and Jayakrishna [52] and Khatwani et al [53] presented a hybrid MCDM approach, integrating FAHP with fuzzy-VIKOR and TOPSIS to select the best tire recycling process and an appropriate marketing channel, respectively, where, FAHP is used to identify the relative importance of the criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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Traditional Multi-Criteria Decision Making (MCDM) methods have now become outdated; therefore, most researchers are focusing on more robust hybrid MCDM models that combine two or more MCDM techniques to address decision-making problems. The authors attempted to create two novel hybrid MCDM systems in this paper by integrating Additive Ratio ASsessment (ARAS) with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Complex PRoportional ASsessment (COPRAS). To demonstrate the ability and effectiveness of these two hybrid models i.e., TOPSIS-ARAS and COPRAS-ARAS were applied to solve a real-time robot selection problem with 12 alternative robots and five selection criteria, while evaluating the parametric importance using the CRiteria Importance Through Inter criteria Correlation (CRITIC) objective weighting estimation tool. The rankings of the robot alternatives gained from these two hybrid models were also compared to the obtained results from eight other solo MCDM tools. Although the rankings by the applied methods slightly differ from each other, the final outcomes from all of the adopted techniques are consistent enough to suggest that robot 12 is the best choice followed by robot 11, and robot 4 is the worst one among these 12 alternatives. Spearman Correlation Coefficient (SCC) also reveals that the proposed rankings derived from various methods have a strong ranking relationship with one another. Finally, sensitivity analysis was performed to investigate the effects of weight variation and to validate the robustness of the implemented MCDM approaches.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

et al. 2021

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“…The scope of the MCDM techniques is not only restricted to large scale projects such as the investor's example given above. It may be used for making daily-life decisions, for example, Sakthivel and IIangkumaran used the Fuzzy Analytical Hierarchy Process (AHP) in the car selection problem [12]. Care should be taken while choosing the criteria based on which the comparison is to be made to obtain accurate results.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

et al. 2020

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Increasing competition in the automobile industry has led to a vast variety of choices when buying a car thus making car selection a tedious task. The objective of this research is to develop a new hybrid multi-criteria decision-making technique, with accuracy greater than that of the already existing methods, in order to help the people in decision-making while buying a car. Hence, considering a broader spectrum, this study aims at easing the process of multi-criteria decision-making problems in different fields. To achieve the objective, seven different alternatives were evaluated with respect to the enlisted evaluation criteria, which were selected after analyzing the secondary data obtained from Pak wheels based on style, fuel economy, price, comfort and performance. These criteria were then analyzed using the proposed Full Consistency Fuzzy TOPSIS method. As the name tells, this method is a unique combination of two techniques. The Full Consistency method is used to calculate the weights of the criteria while the Fuzzy TOPSIS approach is applied to rank the alternatives according to their scores in the selected criteria. The outcomes demonstrate an increase in the consistency ratio of the weight coefficients due to which the ranking of the alternatives by the FCF-TOPSIS is more accurate than the TOPSIS and the Analytical Hierarchy Process. The novelty of the method lies in the fact that this combination has not been used for an alternative selection scenario before. In addition to this, it can be used in various industries where a choice between the available alternatives arises based on a set of evaluation criteria.

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“…If the alternative has the highest GRD between the reference sequence and itself, then the alternative will be the best choice (Sakthivel et al, 2013). This method also requires the introduction of extra parameter, i.e., distinguishing coefficient (ξ).…”

Section: Literature Reviewmentioning

confidence: 99%

Selection of cutting-fluids using a novel decision-making method: preference selection index method

Attri

Dev

Kumar

et al. 2014

IJIDS

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This paper presents a simple and systematic multi-criteria decision making methodology to select a cutting fluid for the given application using the preference selection index (PSI) method. In this methodology, cutting fluid is selected for a given machining application without considering relative importance between the selection attributes. Two real time examples are cited from the literature in order to demonstrate and validate the applicability and potentiality of PSI method in solving the cutting-fluid selection problem. It is observed that the relative rankings of the alternative cutting fluid as obtained using PSI method match quite well with those as derived by the past researchers.Reference to this paper should be made as follows: Attri, R., Dev, N., Kumar, K. and Rana, A. (2014) 'Selection of cutting-fluids using a novel decision-making method: preference selection index method', Int.

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A hybrid MCDM approach for evaluating an automobile purchase model

Cited by 20 publications

References 51 publications

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Analysis of a Robot Selection Problem Using Two Newly Developed Hybrid MCDM Models of TOPSIS-ARAS and COPRAS-ARAS

Development of a New Hybrid Multi Criteria Decision-Making Method for a Car Selection Scenario

Selection of cutting-fluids using a novel decision-making method: preference selection index method

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