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Mobile Phone Ranking by Analytical Hierarchical Process: A Case Study
Author(s) -
Kaustuv Deb,
Rudra Prasad Chatterjee,
Sonali Banerjee,
Rajib Bag,
Atanu Das
Publication year - 2018
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9023
pISSN - 2074-9031
DOI - 10.5815/ijieeb.2018.06.06
Subject(s) - computer science , analytic hierarchy process , mobile phone , ranking (information retrieval) , heuristics , process (computing) , phone , multiple criteria decision analysis , purchasing , mobile device , operations research , artificial intelligence , telecommunications , world wide web , operations management , linguistics , philosophy , operating system , engineering , economics
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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