Smartphone Selection using Analytic Hierarchy Process
Vivian Brian Lobo1, Nazneen Ansari2, Annies Minu3, Sehba Siddiqui4, Flevina D’souza5, Jeba Sangeetha Augestin6
1Vivian Brian Lobo, Department of Computer Engineering, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
2Nazneen Ansari, Department of Information Technology, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
3Annies Minu, Department of Computer Engineering, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
4Sehba Siddiqui, Department of Computer Engineering, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
5Flevina D’souza, Department of Computer Engineering, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
6Jeba Sangeetha Augestin, Department of Computer Engineering, St. Francis Institute of Technology, Mumbai (Maharashtra), India.
Manuscript received on 10 October 2016 | Revised Manuscript received on 18 October 2016 | Manuscript Published on 30 October 2016 | PP: 99-105 | Volume-6 Issue-1, October 2016 | Retrieval Number: A4764106116/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Analytic hierarchy process (AHP) is a measurement theory that is used to obtain ratio scales from distinct as well as continuous paired comparisons, and such comparisons can be selected from either tangible measurements or a basic scale that imitates virtual strength of feelings and predilections. AHP is a decision-making process that was developed by Prof. Thomas L. Saaty (1970), and it aims to quantify virtual significances for a given set of alternatives on a ratio scale—based on decision maker’s judgment—and focuses on the importance of instinctive decisions of both a decision maker and the steadiness of comparison of alternatives. AHP has been an instrument at the hands of decision makers since its discovery and is one of the widely used multicriteria decision-making methods. There have been some exceptional works that have been broadcasted based on AHP in various fields such as scheduling, best alternative selection, allocation of resources, conflict resolution, and optimization. AHP’s forte is its suppleness to be integrated with techniques such as linear programming and fuzzy logic that allows a user to excerpt benefits from all techniques and helps to achieve a desired goal. Similarly, we too use AHP to meet our desired goal. That is, in this study, we consider four smartphones (i.e., ph1, ph2, ph3, and ph4) and determine which smartphone is the best by considering numerous criteria such as cost, camera, internal memory, battery life, and style and generate a rank of alternatives using AHP.
Keywords: Analytic Hierarchy Process, Battery Life, Camera, Cost, Criteria, Internal Memory, Smartphone, StyleB
Scope of the Article: Process & Device Technologies