Computer Science ›› 2016, Vol. 43 ›› Issue (2): 204-209.doi: 10.11896/j.issn.1002-137X.2016.02.044

Previous Articles     Next Articles

Fuzzy Comprehensive Evaluation Method Based on Measure of Medium Truth Degree

XU Wen-hua, CHEN Hai-yan, ZHANG Yu-ping and WANG Jian-dong   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at the problems that most of the existing comprehensive evaluation methods give rigid evaluation results,and they do not apply to the evaluation of objects with fuzzy factors,a comprehensive evaluation method based on measure of medium truth degree was proposed.The processes of the measure of medium truth degree and the methods of setting the parameters were designed respectively when different types of indexes,such as beneficial index,cost index and interval index,were given.Afterwards,the intermediary fuzzy evaluation matrix was constructed based on the mea-surement results of medium truth degree.Intermediary mathematical system was created for processing fuzzy information.Compared to the traditional fuzzy evaluation method,the comprehensive evaluation method based on the measure of medium truth degree is more objective so that it is able to deal with fuzzy phenomenon more effectively.The comparative experimental results indicate that compared to other evaluation methods,the proposed method is valid and has certain advantages.

Key words: Measure of medium truth degree,Fuzzy comprehensive evaluation,Membership function,Intermediary entropy,Multi-attribute architecture

[1] Li G,Qin H L.Discussion of comprehensive evaluation methods[J].Energy Conservation,2004 (10):12-15(in Chinese) 李刚,秦红玲.综合评价方法及探讨[J].节能,2004 (10):12-15
[2] Zadeh L A.Fuzzy sets[J].Information and control,1965,8(3):338-353
[3] Benitez J M,Martín J C,Román C.Using fuzzy number formeasuring quality of service in the hotel industry[J].Tourism management,2007,28(2):544-555
[4] Wei X,Luo X,Li Q,et al.Online Comment-based Hotel Quality Automatic Assessment using Improved Fuzzy Comprehensive Evaluation and Fuzzy Cognitive Map[J].IEEE transactions on fuzzy systems,2015,23(1):72-83
[5] Chen J F,Hsieh H N,Do Q H.Evaluating teaching performance based on fuzzy AHP and comprehensive evaluation approach[J].Applied Soft Computing,2015,28:100-108
[6] Zhang J,Li H,Liu Y,et al.The improvement and application of fuzzy comprehensive evaluation method under the hybrid information[C]∥ 2013 25th Chinese Control and Decision Conference (CCDC).IEEE,2013:1612-1615
[7] Hong L,Xiao X A,Zhu W J.Measure of medium truth scale and its application(I)[J].Chinese Journal of Computers,2006,29(12):2186-2194(in Chinese)洪龙,肖溪安,朱梧槚.中介真值程度的度量及其应用(I)[J].计算机学报,2006,9(12):2186-2194
[8] Zhou N,Zhao Z,Hong L,et al.A new image edge detection algorithm based on measuring of medium truth scale[C]∥ IEEE International Conference on Networking,Sensing and Control,2008(ICNSC 2008).IEEE,2008:698-703
[9] Zhou N N,Hong L.A new evaluation method based on measure of medium truth degree[J].Computer Technology and Development,2012,22(12):123-126(in Chinese) 周宁宁,洪龙.基于中介真值程度度量的评价方法[J].计算机技术与发展,2012,22(12):123-126
[10] Wang X M,Zhang D Y.Call admission control method based on AHP and MMTD[J].Computer Technology and Development,2013,23(8):83-86(in Chinese) 王雪梅,张登银.基于AHP和MMTD的呼叫接纳控制方法 AM-CAC[J].计算机技术与发展,2013,3(8):83-86
[11] Zhang L Z,Pan Z H.Fuzzy comprehensive evaluation based on measure of medium truth scale[J].Computer and Digital Engineering,2009,37(8):67-71(in Chinese) 张丽珍,潘正华.基于中介真值度量的模糊综合评判[J].计算机与数字工程,2009,37(8):67-71
[12] Zhu W J,Xiao X A.Propositional calculus system of medium logic[J].Nature,1985,8(4):315-316(in Chinese) 朱梧槚,肖奚安.中介逻辑的命题演算系统(1) [J].自然杂志,1985,8(4):315-316
[13] Zhou N N,Hong L.Theoretical Study of image processing based on medium mathematics systems[J].Journal of Nanjing University of Posts and Telecommunications(Natural Science),2010,30(3):21-27(in Chinese) 周宁宁,洪龙.基于中介真值程度度量处理图像的应用理论研究[J].南京邮电大学学报(自然科学版),2010,30(3):21-27
[14] Zhu W J,Xiao X A.Foundations of classical mathematics andfuzzy mathematics[J].Nature,1984,7(10):723-726(in Chinese) 朱梧槚,肖奚安.数学基础与模糊数学基础[J].自然杂志,1984,7(10):723-726
[15] Hong L,Zhou N N.Survey of medium logics and medium axiom set theory[J].Journal of Nanjing University of Posts and Telecommunications(Natural Science),2008,28(4):87-94(in Chinese) 洪龙,周宁宁.中介逻辑与中介公理集合论的综述[J].南京邮电大学学报(自然科学版),2008,28(4):87-94
[16] Zhu W J,Xiao X A.Review of research situation about fuzzy mathematics foundation[J].Nature,1986,9(1):43-48(in Chinese) 朱梧槚,肖奚安.关于模糊数学奠基问题研究情况的综述[J].自然杂志,1986,9(1):43-48
[17] Hong L,Xiao X A,Zhu W J.Measure of medium truth scale and its application(II)[J].Chinese Journal of Computers,2007,30(9):1551-1558(in Chinese) 洪龙,肖奚安,朱梧槚.中介真值程度的度量及其应用(II)[J].计算机学报,2007,30(9):1551-1558
[18] Li X,Wang K,Liu L,et al.Application of the entropy weight and TOPSIS method in safety evaluation of coal mines[J].Procedia Engineering,2011,26:2085-2091
[19] Liu W B.Research and realization of fuzzy synthetical evaluation system[D].Tianjin:Hebei University of Technology,2003(in Chinese) 刘文彬.模糊综合评价系统研究与实现[D].天津:河北工业大学,2003
[20] Huang J H,Peng K H.Fuzzy Rasch model in TOPSIS:A new approach for generating fuzzy numbers to assess the competitiveness of the tourism industries in Asian countries[J].Tourism Management,2012,33(2):456-465
[21] Li C Y,Sun J F,Hu D,et al.Application of IAHP and TOPSIS in the evaluation of heavy metal pollution[J].Chinese Journal of Health Statistics,2010,27(2):166-168(in Chinese) 李朝赟,孙金芳,胡丹,等.改进层次分析法和逼近理想解排序法结合在重金属污染评价中的应用[J].中国卫生统计,2010,27(2):166-168
[22] Deng H,Yeh C H,Willis R J.Inter-company comparison using modified TOPSIS with objective weights[J].Computers & Ope-rations Research,2000,27(10):963-973
[23] Du Y.Research on the component quality model and evaluation method[D].Kunming:Kunming University of Science and Technology,2011(in Chinese) 杜云.构件质量模型的建立与评估方法研究[D].昆明:昆明理工大学,2011
[24] Jia J,Fan Y,Guo X.The low carbon development (LCD) levels’ evaluation of the world’s 47 countries (areas) by combining the FAHP with the TOPSIS method[J].Expert Systems with Applications,2012,39(7):6628-6640
[25] Bulgurcu B K.Application of TOPSIS Technique for FinancialPerformance Evaluation of Technology Firms in Istanbul Stock Exchange Market[J].Procedia-Social and Behavioral Sciences,2012,62:1033-1040
[26] Zhang H,Gu C,Gu L,et al.The evaluation of tourism destination competitiveness by TOPSIS & information entropy-A case in the Yangtze River Delta of China[J].Tourism Management,2011,32(2):443-451

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .