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 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.

The Evaluation of Changsha Urban Ecosystem Sustainable Development Ability Based on Improved TOPSIS Model

2013 ◽  
Vol 726-731 ◽  
pp. 5005-5013
Author(s):  
Ying Zhang ◽  
Qiang Wang
Keyword(s):  
Sustainable Development ◽  
Urban Ecosystem ◽  
Indicator System ◽  
Ecosystem Development ◽  
Analytic Hierarchy ◽  
Development Indicator ◽  
Multi Level ◽  
Improved Topsis Model ◽  
Hierarchy Process ◽  
Topsis Model

Urban ecosystem is a multi-level giant system continuous developing and consist of nature, economy, sociaty and other elements. By adopting the analytic hierarchy process (ahp) this paper established the Changsha urban ecosystem sustainable development indicator system and weight, and used the improved TOPSIS model to evaluate Changsha urban ecosystem development ability.

scholarly journals Forest Land Quality Evaluation and the Protection Zoning of Subtropical Humid Evergreen Broadleaf Forest Region Based on the PSO-TOPSIS Model and the Local Indicator of Spatial Association: A Case Study of Hefeng County, Hubei Province, China

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 325
Author(s):  
Li Wang ◽  
Yong Zhou ◽  
Qing Li ◽  
Qian Zuo ◽  
Haoran Gao ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Quality Evaluation ◽  
Spatial Association ◽  
Forest Land ◽  
Mountain Regions ◽  
Land Quality ◽  
Land Protection ◽  
Protection Zones ◽  
Forest Region ◽  
Topsis Model

Forest land is the carrier for growing forests. It is of great significance to evaluate the forest land quality scientifically and delineate forestland protection zones reasonably for realizing better forest land management, promoting ecological civilization construction, and coping with global climate change. In this study, taking Hefeng County, Hubei Province, a subtropical humid evergreen broad-leaved forest region in China, as the study area, 14 indicators were selected from four dimensions—climatic conditions, terrain, soil conditions, and socioeconomics—to construct a forest land quality evaluation index system. Based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model, we introduced the Particle Swarm Optimization (PSO) algorithm to design the evaluation model to evaluate the forest land quality and analyze the distribution of forest land quality in Hefeng. Further, we used the Local Indicator of Spatial Association (LISA) to explore the spatial distribution of forest land quality and delineate the forest land protection zones. The results showed the following: (1) the overall quality of forest land was high, with some variability between regions. The range of Forest Land Quality Index (FLQI) in Hefeng was 0.4091–0.8601, with a mean value of 0.6337. The forest land quality grades were mainly first and second grade, with the higher-grade forest land mainly distributed in the central and southeastern low mountain regions of Zouma, Wuli, and Yanzi. The lower-grade forest land was mainly distributed in the northwestern middle and high mountain regions of Zhongying, Taiping, and Rongmei. (2) The global spatial autocorrelation index of forest land quality in Hefeng County was 0.7562, indicating that the forest land quality in the county had a strong spatial similarity. The spatial distribution of similarity types high-high (HH) and low-low (LL) was more clustered, while the spatial distribution of dissimilarity types high-low (HL) and low-high (LH) was generally dispersed. (3) Based on the LISA of forest land quality, forest land protection zones were divided into three types: key protection zones (KPZs), active protection zones (APZs), and general protection zones (GPZs). The forest land protection zoning basically coincided with the forest land quality. Combining the characteristics of self-correlated types in different forestland protection zones, corresponding management and protection measures were proposed. This showed that the PSO-TOPSIS model can be effectively used for forest land quality evaluation. At the same time, the spatial attributes of forest land were incorporated into the development of forest land protection zoning scheme, which expands the method of forest land protection zoning, and can provide a scientific basis and methodological reference for the reasonable formulation of forest land use planning in Hefeng County, while also serving as a reference for similar regions and countries.

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