scholarly journals Analysis and Prediction of the Coupling Coordination Relationship between Tourism and Air Environment: Yangtze River Economic Zone in China as Example

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Yuqing Geng ◽  
Zejun Wei ◽  
Han Zhang ◽  
Mukasar Maimaituerxun
Keyword(s):  
Prediction Model ◽  
Information Entropy ◽  
Yangtze River ◽  
Tourism Development ◽  
Ideal Solution ◽  
Entropy Weight ◽  
Previous Decade ◽  
Comprehensive Development ◽  
Order Preference ◽  
Coordination Degree

The results show that the comprehensive development degree (CDD) of the tourism-air environment system mainly maintains stable with fluctuation and the gap among different reaches in the Zone is declining; the coupling coordination degree’s (CCD) tendency in most regions remains similar as in the previous decade. The results illustrate that the method combing information entropy weight and the technique for order preference by similarity to an ideal solution (IEW-TOPSIS), coupling coordination degree model (CCDM), and gray GM (1, 1) prediction model is effective in evaluating the coupling coordination relationship between the subsystems of tourism and air environment and in proposing specific countermeasures for tourism development and air environment governance.

scholarly journals Coupling Coordination of Water Governance and Tourism: Measurement and Prediction

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Yuqing Geng ◽  
Mukasar Maimaituerxun ◽  
Han Zhang
Keyword(s):  
Yangtze River ◽  
Evaluation System ◽  
Solution Method ◽  
Water Governance ◽  
Ideal Solution ◽  
Entropy Weight ◽  
Gray System ◽  
Order Preference ◽  
Coordination Development ◽  
Coordination Degree

The interaction between water governance and tourism is complicated and significant so that the study of the coupling coordination between these two subsystems is important. This study analyzes the correlation mechanism of the water governance-tourism system, constructs the composite and aggregated evaluation system which consists of 5 dimensions and 15 indicators, uses information entropy weight technique for order preference by similarity to an ideal solution method to evaluate the development degrees of both water governance and tourism growth of the 11 regions in the Yangtze River Economic Zone, analyzes the two subsystems’ relation of coupling coordination temporally and spatially with the coupling coordination degree model, predicts degrees of coupling coordination of the regions for the next 4 years with gray system prediction model, and proposes specific and generalizable countermeasures. The results show that these methods can provide an effective reference to evaluate the coupling coordination development of water governance and tourism and to provide scientific and generalizable countermeasures for enhancement.

scholarly journals A New Framework to Evaluate Sustainable Higher Education: An Analysis of China

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Yuqing Geng ◽  
Hongwei Zhu ◽  
Nan Zhao ◽  
Qinghua Zhai
Keyword(s):  
Higher Education ◽  
Ideal Solution ◽  
Combined Method ◽  
Entropy Weight ◽  
Development Status ◽  
The World ◽  
Order Preference ◽  
Weight Analysis ◽  
New Framework ◽  
Coordination Degree

The 7E framework to evaluate sustainable higher education proposed in this article is a new and comprehensive one and enjoys the simplicity to remember and spread. This article selects regions of China and compares the development status and coupling coordination level of sustainable higher education both temporally and spatially from the aspects of expenditure, existence, efficiency, effectiveness, economy, equity, and equality based on the 7E framework with the combined method of information entropy weight analysis and technique for order preference by similarity to an ideal solution and coupling coordination degree model. Applicable, generalizable, and constructive countermeasures of sustainable higher education for different regions are also proposed according to the analysis results, which are also references to other places with similar conditions in the world. The framework and the methods are proved effective and useful in evaluating sustainable higher education.

scholarly journals Research on the Coordination of Protection Coupling of Ecological Environment and Tourism Development

2021 ◽  
Vol 237 ◽  
pp. 04014
Author(s):  
Li Yang ◽  
Pengcheng Su
Keyword(s):  
Tourism Development ◽  
Evaluation Index System ◽  
Ecological Environment ◽  
Weighting Method ◽  
Development Index ◽  
Coordination Model ◽  
Development Level ◽  
Two Systems ◽  
Comprehensive Development ◽  
Coordination Degree

While tourism has become a strategic pillar industry, adding vitality to regional development, ecological and environmental problems have become increasingly prominent. Based on the evaluation index system of ecological environment and tourism development, the paper takes Guangxi Zhuang Autonomous Region as an example and uses entropy weighting method to reduce the dimension of the original data. Then, the coupled coordination model is used to compare and analyse the comprehensive development index of the two systems from 2009 to 2018, as well as the development level of the coupling coordination degree between the systems. The results are as follows: (1) Ecological environment and tourism development are interrelated and mutually restricted, with positive and negative feedback. (2) The comprehensive development level of ecological environment system and tourism development system is generally on the rise. The coupling degree fluctuates between the two systems, but the coordination degree and the comprehensive development index show a trend of steady growth on the whole, which accords with the characteristics of high coupling and not high coordination. (3) Finally, according to the development of the coupled coordination model, some suggestions on future ecological environment and tourism development are put forward.

scholarly journals A Novel Coordinated TOPSIS Based on Coefficient of Variation

Mathematics ◽  
2019 ◽  
Vol 7 (7) ◽  
pp. 614 ◽  
Author(s):  
Pengyu Chen
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Coefficient Of Variation ◽  
Ideal Solution ◽  
Comparison Results ◽  
Order Preference ◽  
Modified Topsis ◽  
Coordination Degree

Coordinated Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a significant improvement of TOPSIS, which take into account the coordination level of attributes in the decision-making or assessment. However, in this study, it is found that the existing coordinated TOPSIS has some limitations and problems, which are listed as follows. (1) It is based on modified TOPSIS, not the original TOPSIS. (2) It is inapplicable when using vector normalization. (3) The calculation formulas of the coordination degree are incorrect. (4) The coordination level of attributes is interrelated with the weights. In this paper, the problems of the existing coordinated TOPSIS are explained and revised, and a novel coordinated TOPSIS based on coefficient of variation is proposed to avoid the limitations. Comparisons of the existing, revised, and proposed coordinated TOPSIS are carried out based on two case studies. The comparison results validate the feasibility of the proposed coordinated TOPSIS.

scholarly journals The Dynamic Coupling Nexus Among Inclusive Green Growth: A Case Study in Western Yangtze River Delta of China

2021 ◽  
Author(s):  
Jia lei Cao
Keyword(s):  
Yangtze River ◽  
Integrated Approach ◽  
Yangtze River Delta ◽  
River Delta ◽  
Diagnostic Model ◽  
Green Growth ◽  
Dynamic Coupling ◽  
Entropy Weight ◽  
The Impact ◽  
Coordination Degree

Abstract Inclusive Green growth (IGG) offers an effective alternative to pursue sustainable development. The core of the IGG system lies in the coordination of inclusive, green, and growth subsystems. However, there is little quantitative assessment on IGG based on subsystem collaboration. This paper explores the dynamic coupling IGG nexus in western Yangtze River Delta of China from 2009 to 2018, by using the entropy weight approach (EWA), coupling coordination degree model (CCDM) and obstacle factor diagnostic model (OFDM). The results show that: (1) The integrated approach can allow assessment of the spatiotemporal dynamic coupling nexus of IGG subsystems; (2) At the provincial level, a relatively high IGG performance and a low coupling coordination degree (CCD) of the IGG nexus are seen. The impact of indicators on the coordinated development of IGG can be divided into two stages; (3) At the prefectural level, the cities in which CCD is rising outnumber those it is falling. However, the CCD is also low, and the gap among the regions is getting wider. The obstacles that affect the CCD of cities see a dynamic evolution trend from “inclusive obstacle type” to “inclusive and growth obstacle type” then to “green obstacle type” over the decade.

TERAPAN KOMBINASI METODE TOPSIS DAN ANALYTICAL HIERARCHY PROCESS PADA PEREKOMENDASIAN PENERIMA BEASISWA PENINGKATAN PRESTASI AKADEMIK (Studi Kasus pada STMIK PPKIA Tarakanita Rahmawati)

2017 ◽  
Vol 8 (2) ◽  
pp. 663 ◽  
Author(s):  
Muhammad Fadlan ◽  
Muhammad Muhammad ◽  
Hadriansa
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Microsoft Excel ◽  
Order Preference ◽  
Hierarchy Process

Beasiswa Peningkatan Prestasi Akademik (PPA) sebagai salah satu bentuk dukungan pemerintah Republik Indonesia terhadap dunia pendidikan. Beasiswa yang disalurkan oleh pemerintah melalui Perguruan Tinggi yang ada di Indonesia ini, penyeleksian dan penetapan penerimanya sepenuhnya diserahkan kepada pihak Perguruan Tinggi yang bersangkutan. Tahap inilah yang sangat rentan terjadinya kecurangan. Pada objek penelitian  yang diteliti hingga saat ini proses penyeleksian masih dilakukan dengan menggunakan Microsoft Excel, hal ini tentu saja kurang efektif dan efisien, serta rentan akan terjadinya kesalahan bahkan kecurangan. Untuk itu, diperlukan suatu metodologi dan aplikasi yang tepat dalam melakukan penyeleksian penerima beasiswa tersebut. Decision Support System digunakan sebagai solusi untuk melakukan perekomendasian penerima beasiswa, khususnya dengan menggunakan Metode Technique  for  Order  Preference  by  Similarity  to  Ideal  Solution  (TOPSIS)  dan  Analytical  Hierarcy Process (AHP). Penggunaan kombinasi dua metode tersebut dilakukan agar memiliki tingkat akurasi yang baik jika dibandingkan  dengan menggunakan satu metode. Hasilnya,  aplikasi  decision support system dengan penerapan kombinasi metode Topsis dan AHP berhasil di rancang dan di ujicoba, serta sukses dalam perekomendasian penerima beasiswa PPA dengan menghasilkan data alternatif mahasiswa yang terurut mulai dari nilai preferensi yang paling tinggi 0.764 hingga terendah 0.189. Hasil ini dapat menjadi rekomendasi bagi pengambil keputusan dalam mengambil keputusan yang efektik, efisien dan dapat dipertanggung jawabkan.

scholarly journals Spatio-Temporal Coupling Characteristics and the Driving Mechanism of Population-Land-Industry Urbanization in the Yangtze River Economic Belt

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 400
Author(s):  
Liejia Huang ◽  
Peng Yang ◽  
Boqing Zhang ◽  
Weiyan Hu
Keyword(s):  
Economic Development ◽  
Spatial Correlation ◽  
Yangtze River ◽  
Three Dimensional ◽  
Driving Mechanism ◽  
The Yangtze River ◽  
Central Cities ◽  
Urban Agglomerations ◽  
Development Level ◽  
Coordination Degree

The purpose of this paper is to probe into the coupled coordination of urbanization in population, land, and industry to improve urbanization quality. A coupled coordination degree model, spatial analysis method and spatial metering model are employed. The study area is 110 prefecture-level cities in the Yangtze River Economic Belt. The study shows that: (1) the coupling degree of the population-land-industry urbanization grew very slowly between 2006 and 2016. On the whole, the three-dimensional urbanization is in a running-in period, and land-based urbanization dominates, while population-based urbanization and industry-based urbanization are relatively lagging behind. (2) The three major urban agglomerations, the Chengdu-Chongqing, the middle reaches of the Yangtze River and the Yangtze River Delta, are parallel to the whole area in terms of the coupling degree of the three dimensional urbanization with a well-ordered structure, especially in the central cities of the three major urban agglomerations. (3) There is significant spatial correlation in the coupling degree and coordination degree of the three-dimensional urbanization. The high value of coupling degree and coordination degree are clustered continuously in developed cities, provincial capitals, and central cities of the downstream reaches of the Yangtze River. (4) The coordinated degree has significant positive spatial autocorrelation, showing obvious spatial agglomeration characteristics: H-H agglomeration areas are concentrated in the downstream developed areas such as Jiangsu, Zhejiang, and Shanghai. L-L agglomeration areas are mainly concentrated in upstream undeveloped areas, but the number of their cities shows a decreasing trend. (5) The coordination degree of the three-dimensional urbanization is the result of the comprehensive effect of economic development level, the government’s decision-making behavior, and urban location. Among them, the economic development level, urbanization investment, traffic condition, and urban geographical location play a decisive role. This paper contributes to the existing literatures by exploring urbanization quality, spatial correlation and influencing factors from the perspectives of the three-dimensional urbanization in the Yangtze River Economic Belt. The conclusion might be helpful to promote the coupling and coordinated development of urbanization in population-land-industry, and ultimately to improve urbanization quality in the Yangtze River Economic Belt.

Radiator threat evaluation with missing data based on improved technique for order preference by similarity to ideal solution

2021 ◽  
pp. 1-10
Author(s):  
Yu-Heng Xu ◽  
Si-Yi Cheng ◽  
Hu-Biao Zhang
Keyword(s):  
Missing Data ◽  
Prior Knowledge ◽  
Attribute Reduction ◽  
Estimation Algorithm ◽  
Weighted Averaging ◽  
Ideal Solution ◽  
Attribute Weights ◽  
Order Preference ◽  
Improved Technique ◽  
Threat Evaluation

To solve the problem of the missing data of radiator during the aerial war, and to address the problem that traditional algorithms rely on prior knowledge and specialized systems too much, an algorithm for radiator threat evaluation with missing data based on improved Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been proposed. The null estimation algorithm based on Induced Ordered Weighted Averaging (IOWA) is adopted to calculate the aggregate value for predicting missing data. The attribute reduction is realized by using the Rough Sets (RS) theory, and the attribute weights are reasonably allocated with the theory of Shapley. Threat degrees can be achieved through quantization and ranking of radiators by constructing a TOPSIS decision space. Experiment results show that this algorithm can solve the incompleteness of radiator threat evaluation, and the ranking result is in line with the actual situation. Moreover, the proposed algorithm is highly automated and does not rely on prior knowledge and expert systems.

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