The Evaluation Model of Dangerous Reservoirs Treatment

2013 ◽  
Vol 671-674 ◽  
pp. 3044-3048
Author(s):  
Jian Wen Huang ◽  
Juan Mei Qin ◽  
Da Lin Lu ◽  
Rong Luo
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Scientific Basis ◽  
Ideal Solution ◽  
Entropy Theory ◽  
Effect Evaluation ◽  
Topsis Method ◽  
Post Evaluation ◽  
Order Preference

At present, the treatment effect evaluation is mostly used to evaluate the result of dangerous reservoirs reinforcement which belongs to the post-evaluation. Due to the large quantity, difficult treatment, and limited funds of dangerous reservoirs in our country, this paper proposes the priority evaluation model of dangerous reservoirs treatment which belongs to the pre-evaluation. And in the paper the endangering degree index is added into the previous technology-based evaluation system to make it more close to reality. The information entropy theory is used to determine the weights of index system, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to confirm the order of dangerous reservoirs treatment in a range. At last a case study is given to verify the feasibility and practicability of the model. It provides scientific basis for program decision-making.

scholarly journals Generalized Grey Target Decision Method for Mixed Attributes Based on Kullback-Leibler Distance

Entropy ◽  
2018 ◽  
Vol 20 (7) ◽  
pp. 523 ◽  
Author(s):  
Jinshan Ma
Keyword(s):  
Final Decision ◽  
Ideal Solution ◽  
Topsis Method ◽  
Connection Number ◽  
Decision Method ◽  
Order Preference ◽  
Negative Target

A novel generalized grey target decision method for mixed attributes based on Kullback-Leibler (K-L) distance is proposed. The proposed approach involves the following steps: first, all indices are converted into index binary connection number vectors; second, the two-tuple (determinacy, uncertainty) numbers originated from index binary connection number vectors are obtained; third, the positive and negative target centers of two-tuple (determinacy, uncertainty) numbers are calculated; then the K-L distances of all alternatives to their positive and negative target centers are integrated by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method; the final decision is based on the integrated value on a bigger the better basis. A case study exemplifies the proposed approach.

scholarly journals Sustainable Performance Evaluation: Evidence from Listed Chinese Mining Corporations

Entropy ◽  
2021 ◽  
Vol 23 (3) ◽  
pp. 349
Author(s):  
Yuan Ma ◽  
Jingzhi Men ◽  
Mingyu Li ◽  
Xiaoyan Li
Keyword(s):  
Sustainable Development ◽  
Evaluation System ◽  
Industrial Development ◽  
Ideal Solution ◽  
Topsis Method ◽  
Entropy Weight ◽  
Four Dimensions ◽  
Sustainable Performance ◽  
Research Gap ◽  
Development Evaluation

Rapid industrial development has caused a series of environmental problems, which is not conducive to sustainable development of society as a whole. It is necessary to build a sustainable development evaluation system. Most of the existing literature has evaluated corporate sustainable performance from the economy, environment and society on the basis of triple bottom lines. Considering the research gap and the practice need, an evaluation system is established from four dimensions, referred to as economy, society, environment and responsibility management, and 29 indicators are designed to measure these four dimensions. Twenty seven listed Chinese mining corporations are selected as research samples, and the entropy-weight-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is applied to calculate indicators’ weights. Results show that the four dimensions of sustainable performance weights from high to low are society, environment, economy, and management process.

scholarly journals Application of TOPSIS Method Based on Entropy Weight -Delphi in the Evaluation of Teachers’ “double-qualified” Ability

2020 ◽  
Vol 165 ◽  
pp. 06050
Author(s):  
Weixia Wang ◽  
He Jun
Keyword(s):  
Evaluation System ◽  
Evaluation Model ◽  
Topsis Method ◽  
Entropy Weight ◽  
Chinese Library Classification ◽  
Evaluation Indexes ◽  
Energy Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

In order to improve the rationality and fairness of Teachers’ “Double-qualified” Ability, the article establishes an evaluation model based on 14 evaluation indexes of teachers’ “double-qualified” ability. it adopts Delphi - entropy weight method to weight the evaluation index, and then combines TOPSIS method to evaluate the evaluation object. In the evaluation of TOPSIS method, the traditional TOPSIS weight method was improved, and the entropy weight-delphi method was used to determine the index weight, which was a combination of subjective and objective, making the evaluation system more objective, scientific and reasonable.It not only avoids the subjectivity of decision makers and limitations, but also eliminates the phenomenon of indexes in common impact assessment results and finally applies it to a university teacher “Double division and triple energy” evaluation system, to provide theoretical basis and feasibility analysis for the “double type” teachers team construction. Chinese library classification number: O224 Document identification code: A

Analyses of the Model Design of Urban Emergency Management System

2014 ◽  
Vol 989-994 ◽  
pp. 5448-5452 ◽  
Author(s):  
Xiao Ming Wang ◽  
Ying Lv
Keyword(s):  
Emergency Management ◽  
Management System ◽  
Evaluation System ◽  
Evaluation Model ◽  
Projection Pursuit ◽  
Scientific Basis ◽  
Model Design ◽  
Urban Crisis ◽  
Emergency Management System ◽  
Urban Disaster

In order to tackle the insufficiency of policies of urban crisis management and conform to the ability to deal with urban crisis, it asks to establish a comprehensive emergency management system. Under this circumstance, this paper puts forward a general framework of urban crisis, analyzing the corresponding key technologies of the system and founding a risk rating evaluation model of urban natural calamities based on the improvement of projection pursuit so as to offer scientific basis to the effective establishment and application of the evaluation system and the enhancement of the abilities to urban disaster emergency.

Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method

2014 ◽  
Vol 615 ◽  
pp. 286-289
Author(s):  
Jia Ping Tian ◽  
Su Na Cao ◽  
Jia Xing Du ◽  
Ping Chen ◽  
Huan Zhan
Keyword(s):  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Evaluation Parameters

A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

scholarly journals Comprehensive Evaluation of Operating Speeds for High-Speed Railway: A Case Study of China High-Speed Railway

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jiamin Zhang ◽  
Jiarui Zhang
Keyword(s):  
High Speed ◽  
Comprehensive Evaluation ◽  
Comprehensive Analysis ◽  
Ideal Solution ◽  
Environment Impact ◽  
High Speed Railway ◽  
Order Preference ◽  
Indicator Systems

This paper proposes the indicator systems and integrated desirability framework for comprehensive evaluation towards the operating speeds of high-speed railway (HSR). Speed is a crucial piece in the characterization of the HSR system. The debate about what is the most appropriate operating speed continues. The established indicator systems and integrated desirability framework can comprehensively evaluate the HSR operating speeds from stand points of the economic efficiency, operational efficiency, track capacity, operational security, and environment impact. Moreover, the integrated desirability framework, which is a combination of entropy-analytical hierarchy procedure (EAHP) and technique for order preference by similarity to ideal solution (TOPSIS), can output some references for selecting the most suitable speed regimes of HSR. The application of the desirability framework to the case of China high-speed railway (CHSR) is demonstrated concretely. Based on the case study of CHSR, the comprehensive analysis of the effectiveness of the indicator systems on HSR operating speeds is carried out. The case study shows that the proposed indicator systems and integrated desirability framework can be used to evaluate comprehensively the HSR operating speeds under various conditions.

scholarly journals PEMILIHAN WISATA MENGGUNAKAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DENGAN VISUALISASI LOKASI OBJEK

2018 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Dwi Ely Kurniawan
Keyword(s):  
Tourist Attraction ◽  
Ideal Solution ◽  
Topsis Method ◽  
Google Maps ◽  
Web Based ◽  
Strategic Location ◽  
Order Preference ◽  
To Come ◽  
Tourism Potential ◽  
Tourist Information

<p><em>Batam is one of the existing city in Riau Islands Province, Indonesia. The amount of tourism potential and strategic location for tourists to come to Batam. But what is being searched is the difficulty of finding a tourist attraction based on certain parameters. To overcome these problems, it takes a technology that provides tourist recommendation map information. This research develops this application to give recommendation of tourism based on certain parameters as needed by using TOPSIS method in Batam City web based. The results of development, the application can run functionally (online), can store the tour data and criteria. It can also do the calculation of attractions based on TOPSIS decision. Users can fill the weight of some parameters of distance, time and cost. In order to provide ease in location visualization, the final result of decision calculation is able to provide tourist information in the form of object location of Google Maps API and a brief description of the tour.</em></p><p><em><strong>Keywords</strong>: location, tourist attraction, decision, TOPSIS</em></p><p><em>Batam merupakan salah satu Kota yang terdapat di Provinsi Kepulauan Riau, Indonesia. Banyaknya potensi pariwisata dan lokasi yang strategis membuat peluang wisatawan untuk datang ke Kota Batam. Namun kendala yang ditemukan adalah sulitnya menemukan objek wisata berdasarkan parameter tertentu. Untuk mengatasi masalah tersebut, maka dibutuhkan sebuah teknologi aplikasi yang menyajikan informasi peta rekomendasi wisata di Kota Batam berbasis web. Penelitian ini mengembangkan aplikasi ini untuk memberikan rekomendasi wisata berdasarkan parameter tertentu sesuai kebutuhan wisatawan dengan menggunakan metode TOPSIS. Hasil pengembangan aplikasi dapat berjalan secara online dapat mengelola data wisata dan data kriteria. Selain itu juga dapat melakukan perhitungan objek wisata berdasarkan keputusan TOPSIS. Pengguna dapat mengisi bobot dari beberapa parameter yaitu waktu, jarak dan biaya. Agar dapat memberikan kemudahan dalam visualisasi lokasi hasil akhir perhitungan keputusan, memberikan informasi wisata berupa lokasi objek dari Google Maps API dan deskripsi singkat wisata tersebut.</em></p><p><em><strong>Kata Kunci</strong>: lokasi, potensi wisata, keputusan, TOPSIS</em></p><p><em><br /></em></p>

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