Improved TOPSIS model based on interval numbers

2013 ◽  
Author(s):  
Xinqiang Wei ◽  
Baosheng Zhang ◽  
Qing Wang
Keyword(s):  
Interval Numbers ◽  
Model Based ◽  
Improved Topsis Model ◽  
Topsis Model

scholarly journals Improved TOPSIS Model and its Application in the Evaluation of NCAA Basketball Coaches

2015 ◽  
Vol 9 (2) ◽  
Author(s):  
Qiang Xu ◽  
Yuan Biao Zhang ◽  
Jing Zhang ◽  
Xin Guang Lv
Keyword(s):  
Basketball Coaches ◽  
Improved Topsis Model ◽  
Topsis Model

scholarly journals Multi-Dimensional Interval Number Decision Model Based on Mahalanobis-Taguchi System with Grey Entropy Method and Its Application in Reservoir Operation Scheme Selection

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 685 ◽  
Author(s):  
Changming Ji ◽  
Xiaoqing Liang ◽  
Yang Peng ◽  
Yanke Zhang ◽  
Xiaoran Yan ◽  
...  
Keyword(s):  
Decision Model ◽  
Signal To Noise Ratio ◽  
Orthogonal Design ◽  
Interval Number ◽  
Entropy Method ◽  
Interval Numbers ◽  
Optimal Scheme ◽  
Model Based ◽  
Scheme Selection ◽  
Risk And Benefit

In decision-making with interval numbers, there are problems such as how to reduce the loss of decision information to improve decision accuracy and the difficulty of using interval numbers for sorting. On the basis of fully considering the subjective and objective weights of indexes, the grey entropy method (GEM) is improved by taking advantage of the Mahalanobis-Taguchi System (MTS) in which the orthogonal design has few tests but much obtained information, and the Mahalanobis distance can reflect the correlation between indexes. Then, the signal-to-noise ratio is integrated with the improved degree of balance and approach, and a multi-dimensional interval number decision model based on MTS and GEM is put forth. This model is applied to selecting the optimal scheme of controlling the Pankou reservoir’s water level in flood season. Compared with the decision results of other methods, the optimal scheme selected by the proposed model can achieve greater benefits within an acceptable risk range and thus better coordinate the balance between risk and benefit, which verifies the feasibility and validity of the model.

scholarly journals Research on evaluation method of water resources carrying capacity based on improved TOPSIS model

2020 ◽  
pp. 68-74
Author(s):  
Xiubo Sun ◽  
Changlai Guo ◽  
Jian Cui
Keyword(s):  
Water Resources ◽  
Carrying Capacity ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Practical Significance ◽  
Research On Evaluation ◽  
Water Resources Carrying Capacity ◽  
Index Matrix ◽  
Improved Topsis Model ◽  
Topsis Model

Based on the improved TOPSIS model, water resources carrying capacity research is carried out. On the basis of constructing a water resources evaluation index system, the weights are introduced from the traditionally constructed index matrix into the Euclidean distance of the TOPSIS model through subjective and objective weighting. When the ideal solution distance is the same, the larger weighted index corresponds to the greater water resources carrying capacity. The improved TOPSIS model is used to evaluate the water resources carrying. Taking Jinzhou as an example, we determine the advantages of water resources carrying capacity and the influencing factors of the short board in this area. The proposed method has certain theoretical and practical significance.

scholarly journals Evaluation of Provincial Carbon Neutrality Capacity of China Based on Combined Weight and Improved TOPSIS Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2777
Author(s):  
Dongxiao Niu ◽  
Gengqi Wu ◽  
Zhengsen Ji ◽  
Dongyu Wang ◽  
Yuying Li ◽  
...  
Keyword(s):  
Indicator System ◽  
Low Carbon ◽  
Factors Affecting ◽  
Carbon Neutrality ◽  
Evaluation Indicator ◽  
Order Preference ◽  
Evaluation Indicator System ◽  
Improved Topsis Model ◽  
Improved Technique ◽  
Topsis Model

It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China needs to understand its own carbon neutrality status and then scientifically plan a path to achieve carbon neutrality. In order to evaluate the carbon neutrality capacity of China’s provinces, this paper firstly constructs an evaluation indicator system, which includes 20 indicators at six levels. Then, a combination of subjective and objective weighting methods, as well as an improved technique for order preference by similarity to an ideal solution (TOPSIS) model, are used to calculate evaluation results. On this basis, the reasons for their different carbon neutrality capacities are analyzed. The results show that the use of renewable energy, maintaining ecological environmental quality, and low-carbon technology are important factors affecting China’s carbon neutrality capacity, and according to the evaluation results, China’s provinces are divided into three categories. Finally, corresponding suggestions for speeding up the pace of carbon neutrality are put forward.

scholarly journals TOPSIS model based on entropy and similarity measure for market segment selection and evaluation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Truong Thi Thuy Duong ◽  
Nguyen Xuan Thao
Keyword(s):  
Decision Making ◽  
Similarity Measure ◽  
Multi Criteria Decision Making ◽  
Market Segment ◽  
Content Type ◽  
Model Based ◽  
Relative Closeness ◽  
Decision Making Problem ◽  
Topsis Approach ◽  
Topsis Model

PurposeThe paper aims to propose a practical model for market segment selection and evaluation. The paper carries out a technique of order preference similarity to the ideal solution (TOPSIS) approach to make an operation systematic dealing with multi-criteria decision- making problem.Design/methodology/approachIntroducing a multi-criteria decision-making problem based on TOPSIS approach. A new entropy and new similarity measure under neutrosopic environment are proposed to evaluate the weights of criteria and the relative closeness coefficient in TOPSIS model.FindingsThe outcomes show that the TOPSIS model based on new entropy and similarity measure is effective for evaluation and selection market segment. Profitability, growth of the market, the likelihood of sustainable differential advantages are the most important insights of criteria.Originality/valueThis paper put forward an effective multi-criteria decision-making dealing with uncertain information.

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