Using Fuzzy Preference Relations to Predict the Success Possibility of Assistive Input Devices for Disabled Implementation

Abstract:

This study proposes an analytic hierarchical prediction model based on consistent fuzzy preference relations to help the organizations become aware of the essential factors affecting the implementation Assistive Input Devices (AID). Pairwise comparisons are used to determine the priority weights of influential factors and the ratings of success or failure outcomes amongst decision makers. The subjectivity and vagueness in the prediction procedures are dealt with using linguistic terms quantified in an interval scale [0, 1]. Then predicted success/failure values are obtained to enable organizations to decide whether to initiate knowledge management, inhibit adoption or take remedial actions to increase the possibility of successful AID for disabled. This proposed approach is demonstrated with a real case study involving seven influential factors assessed by eleven evaluators solicited from a special school located in Taiwan.

• Periodical: Advanced Materials Research (Volume 647)
• Pages: 905-911
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.647.905
• Online since: January 2013
• Authors: Ching Tien Shih, Shu Chen Hsu, Ching Hsiang Shih
• Keywords: Analysis Hierarchy Process (AHP), Assistive Input Devices, Disabled, Preference Relations

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