Kaustuv Deb

Work place: Supreme Knowledge Foundation Group of Institutions

E-mail: kaustuvdeb24@gmail.com


Research Interests: Computer systems and computational processes, Computational Learning Theory, Data Mining, Data Structures and Algorithms


Kaustuv Deb was born in 1986, received his B.Tech (Computer Science & Engineering) degree from West Bengal University of Technology and M.Tech (Computer Science & Engineering) degree from Jadavpur University, West Bengal, India in the year of 2008 and 2012 respectively. Presently he is working as Assistant Professor in the department of Computer Science & Engineering in Supreme Knowledge Foundation Group of Institutions under Maulana Abul Kalam Azad University of Technology formerly known as West Bengal University Technology, Kolkata, West Bengal, India. He has 4 publications (3 international journals and 1 IEEE International Conference) in his credit. His research interest includes machine learning and data mining.

Author Articles
Mobile Phone Ranking by Analytical Hierarchical Process: A Case Study

By Kaustuv Deb Rudra Prasad Chatterjee Sonali Banerjee Rajib Bag Atanu Das

DOI: https://doi.org/10.5815/ijieeb.2018.06.06, Pub. Date: 8 Nov. 2018

Mobile phones are one of the highly used gadgets now a day. These handheld devices serve multiple purposes through different available functionalities. Demand of services and functionalities vary with time and person concern. Before purchasing a new mobile phone, one has to judge specifications like functionalities, hardware capabilities and efficiencies available with the particular model of the device. We often find it difficult to identify or decide the best model among the available multiple alternatives by heuristics quick analysis of the specifications and prices.
This paper proposes a method for ranking mobile phone models based on Analytical Hierarchical Process (AHP), one of the typically used mathematical models for Multi Criteria Decision Making (MCDM) problems. The effectiveness of the proposed method is analyzed through a case study consisting of various sophisticated approaches based on AHP. A novice mobile phone buyer will be benefitted by the use of the proposed method incorporated through e-commerce sites.

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