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Growing Science » Authors » Puneet Kumar Agarwal

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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Performance appraisal of Indian state police forces using ARAS method Pages 361-372 Right click to download the paper Download PDF

Authors: Debapriyo Paul, Puneet Kumar Agarwal, Shankar Chakraborty

DOI: 10.5267/j.msl.2016.3.001

Keywords:

Abstract:
In the light of recent excess of reported crimes in various states and union territories (UTs) of India, it becomes imperative to evaluate the police performance of different states/UTs in order to identify the poor/under-performing ones requiring immediate attention. Although, a limited amount of research work has been carried out in this area, mainly employing data envelopment analysis approach, a definitive ranking of Indian states/UTs with respect to their police performance has never been derived using any of the multi-criteria decision making (MCDM) techniques. Thus, the aim of this paper is focused on evaluating and ranking of all the Indian states/UTs with respect to their performance in minimizing criminal activities while employing additive ratio assessment (ARAS) method as a simplistic MCDM tool. It is revealed that Chandigarh evolves out as the best performer amongst all the 35 Indian states/UTs, while West Bengal comes out as the worst performer. A detailed analysis of the results is also carried out to identify those Indian states/UTs where substantial improvement can be brought in.
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Journal: MSL | Year: 2016 | Volume: 6 | Issue: 5 | Views: 2637 | Reviews: 0

 
2.

A comparative analysis of different hybrid MCDM techniques considering a case of selection of 3D printers Pages 695-708 Right click to download the paper Download PDF

Authors: Debapriyo Paul, Puneet Kumar Agarwal, Gourab Gopal Mondal, Debamalya Banerjee

DOI: 10.5267/j.msl.2015.5.003

Keywords: 3D Printing, ANP, Comparative analysis, Hybrid MCDM, PROMETHEE, Similarity Method, TOPSIS

Abstract:
A multitude of techniques fall under the domain of Multi- Criteria Decision Making (MCDM) which is used to select the best alternative among the available ones. The objective of this paper is to compare some of these techniques with respect to the problem of selection of 3D printers, which is associated with multiple attributes. The weights of the criteria were determined using analytical network process (ANP). Next, the alternatives were ranked using three different MCDM techniques- 1.TOPSIS which ranks alternatives having the shortest distance to the ideal solution as well as the greatest distance from the negative-ideal solution 2. Deng’s Similarity based Approach where the most preferred alternative should have the highest degree of similarity to the positive ideal solution and the lowest degree of similarity to the negative-ideal solution and 3.PROMETHEE and GAIA. The solutions for each of these three cases were analyzed thoroughly, and reasons for any deviations were discussed.
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Journal: MSL | Year: 2015 | Volume: 5 | Issue: 7 | Views: 2441 | Reviews: 0

 

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