Dynamic Combined Evaluation Method and its Application in Supplier Selection

Xue-jun, Wang; Hao, Jing

doi:10.1109/ical.2007.4338667

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…Moreover, the trend of methods developing toward multiplicity has also promoted the application research of dynamic comprehensive evaluation [14] – [16] . However, as clearly studied on index weight, many researchers have mainly ascertained it by applying subjective or objective information, but few researchers have used both [17] . For the time weight many studies have been published concerning on the time distance, while little attention has been paid to the weight changes caused by the index information [18] , [19] .…”

Section: Introductionmentioning

confidence: 99%

Method and Application for Dynamic Comprehensive Evaluation with Subjective and Objective Information

Liu

Zhao

2013

PLoS ONE

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In an effort to deal with more complicated evaluation situations, scientists have focused their efforts on dynamic comprehensive evaluation research. How to make full use of the subjective and objective information has become one of the noteworthy content. In this paper, a dynamic comprehensive evaluation method with subjective and objective information is proposed. We use the combination weighting method to determine the index weight. Analysis hierarchy process method is applied to dispose the subjective information, and criteria importance through intercriteria correlation method is used to handle the objective information. And for the time weight determination, we consider both time distance and information size to embody the principle of esteeming the present over the past. And then the linear weighted average model is constructed to make the evaluation process more practicable. Finally, an example is presented to illustrate the effectiveness of this method. Overall, the results suggest that the proposed method is reasonable and effective.

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Section: Introductionmentioning

confidence: 99%

Method and Application for Dynamic Comprehensive Evaluation with Subjective and Objective Information

Liu

Zhao

2013

PLoS ONE

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“…2) Calculation of weight by G2 method (Wang et al, 2005) The G2 method is also a subjective evaluation method, but unlike the G1 me- given by experts.…”

Section: Single Evaluation Methods Of Empowermentmentioning

confidence: 99%

Evaluation of Green Growth Capacity in National New Areas

Zhao¹,

Shang²,

Yu-li³

et al. 2018

ChnStd

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As a special policy area under China's new normal economic background, the National New District plays a key role in the realization of economic and social development and green growth. This paper constructs an evaluation index system for green growth capacity from five aspects: government support capabilities, corporate green capabilities, NGO supervision and guidance, public participation capabilities, and park output benefits. Various methods are used to measure green growth capacities of these four National New Districts including the Jinpu, Pudong, Binhai, and Nansha. The results show that government support capability has the greatest impact on the green growth capacity of the state-level new district and Pudong has the largest green growth capacity, followed by Binhai, Nansha and Jinpu.

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“…Y. F. Zhou, F. J. Wei [3] described a new approach utilizing group fuzzy judgement matrix to determine weights of index. X. J. Wang, Y. J. Guo [4] gave new combined weights which can avoid unilateral result of a single method for evaluation. The approach in [4] combined objective weights by Entropy Method with subjective weights by G1 method.…”

Section: Introductionmentioning

confidence: 99%

“…X. J. Wang, Y. J. Guo [4] gave new combined weights which can avoid unilateral result of a single method for evaluation. The approach in [4] combined objective weights by Entropy Method with subjective weights by G1 method. Z. S. Xu [5] discussed the fuzzy decision question with multiple attributes, and in this question the attribute values are fuzzy and the decision maker has individual preference to schemas.…”

Section: Introductionmentioning

confidence: 99%

Method of Determining Weights of Indices in Group Evaluation Based on Soft Sets

Zou

Yu-ke

Гонг

2009

2009 Third International Symposium on Intelligent Information Technology Application

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Information integration of several experts about weights of indices is one of the most principle issues in group evaluation. Based on the nonrestraint of parameters selection of soft sets and the characteristic of matrix operations, this paper describes the order relation of the evaluation indices and an new method of determining the weights of evaluation indices. The corresponding algorithm is provided subsequently. Lastly, this algorithm is applied to compute the weights of indices in the partner selection for technological innovation of enterprises. The result shows that the approach provided in this paper is efficient and feasible.

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Dynamic Combined Evaluation Method and its Application in Supplier Selection

Cited by 4 publications

References 4 publications

Method and Application for Dynamic Comprehensive Evaluation with Subjective and Objective Information

Method and Application for Dynamic Comprehensive Evaluation with Subjective and Objective Information

Evaluation of Green Growth Capacity in National New Areas

Method of Determining Weights of Indices in Group Evaluation Based on Soft Sets

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