A Computer Aided Tactic for Improving Consistency of AHP during Questionnaire Filling

• Main Authors: Tey, Chai-Fui, 鄭再輝
• Other Authors: Huang, Shih-ping
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/jrxgb9

碩士 === 國立交通大學 === 管理學院科技管理學程 === 105 === The world nowadays is getting complicated. Governments, companies, organizations, institutions, colleges, and even individuals have to face with new problems every now and then. These problems can be related to any aspect, from environmental to educational, financial, and lots more. These problems can always formed by complex criteria and lead to a bunch of possible solutions. There are often also very less time given to analysis the problem and to finding a rational while relatively better solution or decision making. Thankfully, the Multiple Criteria Decision Making (MCDM) was introduced. With the invention of a selection of MCDM methods such as AHP, ANP, TOPSIS, VIKOR, DEMATEL, and others, the decision making can now be more systematic, logically and mathematically trustworthy. As a result, we are now able to make a better decision than the old time with the help of the tools mentioned above. Among all the MCDM methods introduced, the Analytic Hierarchy Process (AHP) has been widely accepted as one of the most powerful, sufficient, and flexible tool to solve any MCDM problems in real life. It has been broadly used in a variety of situations involving government, business, education, environmental issue, and industry. Although the method has been proven to be practical and effective, there are still existing issues or weakness in AHP that people may fail or refuse to use it as a decision-making tool. In this research, we suggest a computer-aided tactic, which can be used during questionnaire filling for improving the consistency of AHP. This tactic is accomplished by reorganizing the sequence of pairwise-comparisons of AHP with the help of computer-aided questionnaire software. Hopefully, with this lower-entry-barrier approach, more people are able to evaluate a multiple-criteria decision making problem using the AHP method.