Dom Quality Evaluation Based on Multi-level Fuzzy Comprehensive Assessment of Entropy Weights

نویسندگان

  • Quanhua ZHAO
  • Weidong SONG
چکیده

With the development of RS technology, the evaluation of DOM becomes more important. Multi-level fuzzy comprehensive evaluation is the traditional method for DOM evaluation. But in the process of traditional multi-Level Fuzzy Comprehensive Assessment, the weight of evaluation factor which are subjective is always ascertained by experts. The method can cause evaluation bias because of the subjective weights of factors. In this paper, the external Shannon weight was introduced to integrate with the subjective weights by experts. Then some DOMs were assessed by Shannon weight fuzzy comprehensive assessment. The test proved that the integration of Shannon weight and subjective weight is the combination of subjective and objective factors, it can decrease the bias caused by subjective factors for DOM assessment. The test also proved that evaluation result is external and rational. * Corresponding author.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...

متن کامل

A novel ranking method for intuitionistic fuzzy set based on information fusion and application to threat assessment

A novel ranking method based on multi-time information fusion is proposed for intuitionistic fuzzy sets (IFSs) and applied to the threat assessment problem, a multi-attribute decision making (MADM) one. This method integrates a designed intuitionistic fuzzy entropy (IFE), the closeness degree of technique for order preference by similarity to ideal solution (TOPSIS), the decision maker¡¯s (DM¡¯...

متن کامل

Group Decision Making based on a New Evaluation Method and Hesitant Fuzzy Setting with an Application to an Energy Planning Problem

In recent two decades, countries focused on minimum extraction of fossil fuels and utilized the renewable energies based on countries' policies and the environmental considerations. Thus, choosing the best renewable energy alternative is a significant role to investment on them. Among the classical decision approaches that have used in the literature, the hesitant fuzzy sets (HFSs) theory is ap...

متن کامل

Collaborative Performance Research on Multi-level Hospital Management Based on Synergy Entropy-HoQ

Because of the general lack of multi-level hospital management collaboration performance effectiveness research, this paper proposes a multi-level hospital management Synergy Entropy-House of Quality (HoQ) Measurement Model by innovatively combining the House of Quality (HoQ) measure model with a Synergy Entropy computing principle. Triangular fuzzy functions are used to determine the importanc...

متن کامل

Research on Comprehensive Evaluation of CCS Project Based on Integrated Cloud Model and Entropy Weight

To overcome the uncertainty of the weights and the assessment matrix, which are adopted by fuzzy comprehensive method, the entropy weight with objectivity is used to determine the weight in this paper. And the accurate assessment matrix are built using the fuzziness and randomness of comprehensive cloud model. Then the risk comprehensive assessment model of CCS project is established. So qualit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2008