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On Normalization of Comprehensive Evaluation System with Complex Uncertain Information
作者姓名:徐扬  曾宪奕  阮达
作者单位:Department of Mathematics,Southwest Jiaotong University,Chengdu,610031,Sichuan,P.R. China,Ecole National Supérieure des Arts et Industries Textiles,Roubaix,59100,France,Belgian Nuclear Research Centre (SCK. CEN),Boeretang 200,B-2400 Mol,Belgium
基金项目:We express our gratitude to Dr. Ting Chen for his help given to this paper. The work was supported by Ecole Nationale Superieure des Arts et Industries Textiles of France,国家自然科学基金,Sichuan Youth Science and Technology Foundation of China
摘    要:IntroductionAnevaluationisoneofthebasicissuesfordecisionmaking.Itdealsnotonlywithnaturalsciencebutalsowithsocialscience,managementscience,physiology,psychology,andcognitivescience.Thus,anevaluationisamultidisciplinaryfield.Ingeneral,anevaluationsystemisamixedinformationsystem,i.e.,relatedevaluationinformationdealsnotonlywithcertaininformation(suchasthedatumfromaccuratemeasurementforcertainobjects)butalsowithuncertaininformation(suchasevaluationterms,sensoryinformationontheobjectstobeevaluated,…


On Normalization of Comprehensive Evaluation System with Complex Uncertain Information
Institution:1. Department of Mathematics, Southwest Jiaotong University, Chengdu, 610031, Sichuan, P.R. China
2. Ecole National Supérieure des Arts et Industries Textiles, Roubaix, 59100, France
3. Belgian Nuclear Research Centre SCK. CEN, Boeretang 200, B-2400 Mol, Belgium
Abstract:This paper systematically proposes basic requirements on normalization of comprehensive evaluation system with complex uncertain information due to human participation. Four basic academic ideas are as follows: 1) It is necessary to normalize conditions of information acquisition. 2) The effectiveness of comprehensive evaluation depends on the correctness of information acquisition. 3) Any evaluation results can be transformed into linguistic satisfactory degrees. 4) Linguistic values can include a great deal of information. This paper mainly deals with how to select objects to be evaluated, evaluators (panelists) and the methods of information processing, how to construct criteria of evaluation, how to normalize terms of evaluation, the results of evaluation, and the procedure of evaluation.
Keywords:comprehensive evaluation  uncertain information  linguistic value  satisfactory degree
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