Quantifying Website Usability using Fuzzy Approach
Shachi Bhatnagar1, Sanjay K. Dubey2, Ajay Rana3
1Shachi Bhatnagar, Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Sector 125, Noida, India.
2Sanjay K. Dubey, Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Sector 125,Amity University, Noida, India.
3Prof (Dr.)Ajay Rana, Computer Science and Engineering Department, Amity School of Engineering and Technology, Amity University, Sector 125,Amity University, Noida.
Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 424-428 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0637042212/2012©BEIESP
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© The Authors. Published By: 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: Usability is one of the most important factors for evaluating the quality of software/website. There are different dimensions through which usability of software can be evaluated. But the concept of usability is complicated. As the evaluation of usability is dependent on user experience, the data becomes difficult to work on as it is fuzzy in nature. There are different types of fuzzy theories are available through which usability can be evaluated even in the presence of uncertain and imprecise data. ISO 9241 states that effectiveness, efficiency and satisfaction are the criteria for usability evaluation. In this paper we are trying to show that if we incorporate the learnability of software with effectiveness, efficiency and satisfaction the usability of software increases with a considerable amount.
Keywords: Analytical hierarchy process (AHP), Fuzzy comprehensive evaluation, learnability, usability, usability evaluation, user experience.