Volume 39 Issue 2
May  2017
Article Contents

ZHU Yan, ZHANG Long-fei. Study and Implementation of a Web Quality Fuzzy Assessment System[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 242-246. doi: 10.3969/j.issn.1001-0548.2010.02.019
Citation: ZHU Yan, ZHANG Long-fei. Study and Implementation of a Web Quality Fuzzy Assessment System[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 242-246. doi: 10.3969/j.issn.1001-0548.2010.02.019

Study and Implementation of a Web Quality Fuzzy Assessment System

doi: 10.3969/j.issn.1001-0548.2010.02.019
  • Received Date: 2008-07-15
  • Rev Recd Date: 2009-11-30
  • Publish Date: 2010-04-15
  • A fuzzy assessment system of Web resource quality is implemented. The system functions include Web sources investigation and comparison, criteria determination, Web sources evaluation, and sensitivity analysis of the criteria. Fuzzy logic and multi-attributes decision making (MADM) methods are integrated for tackling the incompleteness, imprecision, uncertainty, and subjectivity in the Web quality quantization and assessment. The sensitivity analysis and the quality ranking of Web sources are used by evaluators to better quantize Web source quality and to improve the fuzzy evaluation procedure for obtaining more precise results and for selecting more qualified Web sources.
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Study and Implementation of a Web Quality Fuzzy Assessment System

doi: 10.3969/j.issn.1001-0548.2010.02.019

Abstract: A fuzzy assessment system of Web resource quality is implemented. The system functions include Web sources investigation and comparison, criteria determination, Web sources evaluation, and sensitivity analysis of the criteria. Fuzzy logic and multi-attributes decision making (MADM) methods are integrated for tackling the incompleteness, imprecision, uncertainty, and subjectivity in the Web quality quantization and assessment. The sensitivity analysis and the quality ranking of Web sources are used by evaluators to better quantize Web source quality and to improve the fuzzy evaluation procedure for obtaining more precise results and for selecting more qualified Web sources.

ZHU Yan, ZHANG Long-fei. Study and Implementation of a Web Quality Fuzzy Assessment System[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 242-246. doi: 10.3969/j.issn.1001-0548.2010.02.019
Citation: ZHU Yan, ZHANG Long-fei. Study and Implementation of a Web Quality Fuzzy Assessment System[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(2): 242-246. doi: 10.3969/j.issn.1001-0548.2010.02.019

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