Management evaluation of enterprise system based on management entropy theory

2013 ◽  
Author(s):  
Yongchun Jing ◽  
Yuyan Luo ◽  
Peiyu Ren ◽  
Ming Zhou
Keyword(s):  
Enterprise System ◽  
Entropy Theory ◽  
Management Evaluation ◽  
Management Entropy

Research on Evaluation of Sustainable Development Based on Management Entropy for Scenic Areas

2012 ◽  
Vol 573-574 ◽  
pp. 766-771 ◽  
Author(s):  
Qian Lan Yang ◽  
Ying Zhang
Keyword(s):  
Sustainable Development ◽  
Development Trend ◽  
Status Quo ◽  
Target Audience ◽  
Entropy Theory ◽  
The Sustainable Development ◽  
Research On Evaluation ◽  
The Status ◽  
Management Entropy ◽  
Traditional Evaluation

The traditional evaluation methods usually use static and linear techniques to analyze the target audience, and it cannot fully and dynamically reflect the status quo and development trend of the evaluation object. Therefore, applying these methods to evaluate the sustainable development trend of the scenic deficiencies which is a complex and giant system has some deficiencies. In order to solve the above problem, this thesis is based on the management entropy theory, and will create the methods of traditional evaluation.

scholarly journals Research on knowledge innovation of supply chain enterprises from the perspective of the thermodynamic entropy theory

2019 ◽  
Vol 23 (5 Part A) ◽  
pp. 2721-2729
Author(s):  
Li Xiang ◽  
Longying Hu
Keyword(s):  
Supply Chain ◽  
Knowledge Sharing ◽  
Information Entropy ◽  
Management System ◽  
Entropy Theory ◽  
Microscopic Mechanism ◽  
Thermodynamic Entropy ◽  
Knowledge Innovation ◽  
Thermodynamics System ◽  
Management Entropy

The theory of thermodynamic entropy is applied for reference to solve the basic problems of supply chain management science and knowledge innovation of supply chain enterprises. As for entropy, only thermodynamic entropy, statistical physical entropy and information entropy have been recognized, so management entropy is defined as the generalization of entropy. According to the similarity between state change of management system and that of the thermodynamics system, the revelation of the microscopic mechanism of entropy essence by statistical physical entropy, and the foundation that information entropy is regarded as the generalization of entropy by scholars, it is concluded that management entropy exists and has the same properties as thermodynamic entropy. For instance, it becomes a measure of the degree of chaos and disorder of a system and the time vector of the management system. A knowledge innovation sharing model of supply chain enterprises is constructed based on the thermodynamic entropy theory, the process of knowledge sharing in supply chain is analyzed, and the possibility of knowledge sharing among supply chain enterprises from the point of view of game theory is discussed. The principal-agent theory is used to analyze the incentive strategy to promote knowledge sharing in supply chain, and the model of knowledge sharing in supply chain is established.

A Research on Management Entropy Model and Its Application in the Process of Business Growth

2010 ◽  
Vol 33 ◽  
pp. 709-713
Author(s):  
M.L. Zhang
Keyword(s):  
Decision Making ◽  
Influencing Factors ◽  
Growth Stage ◽  
Business Management ◽  
Entropy Theory ◽  
Business Growth ◽  
Stages Of Development ◽  
Entropy Model ◽  
Business Size ◽  
Management Entropy

From creation to the bankrupt of company, it will experience a series of intermediate stages of development. Growth stage is the key one during the process of enterprise’s changing rapidly. With the characters of business growth stage, this pa rise’s changing from weak to strong. In this stage, enterprise rises quickly whose influencing factors are per brings in entropy theory. Based on size, complexity, stability of enterprise, the paper establishes a kind of model of measuring and calculating business management entropy around business size, enterprise capacity and developing speed. The model will supply theoretical direction for decision making activities of business growth stage.

Review of Social Entropy Theory.

1991 ◽  
Vol 36 (4) ◽  
pp. 347-347
Author(s):  
No authorship indicated
Keyword(s):  
Entropy Theory

Frontiers in Complex Dynamics

2014 ◽  
Author(s):  
Araceli Bonifant ◽  
Misha Lyubich ◽  
Scott Sutherland
Keyword(s):  
Historical Perspective ◽  
Complex Dynamics ◽  
Short Paper ◽  
Combinatorial Group Theory ◽  
Entropy Theory ◽  
Holomorphic Dynamics ◽  
Eightieth Birthday ◽  
Several Variables ◽  
Fields Medal ◽  
Combinatorial Group

John Milnor, best known for his work in differential topology, K-theory, and dynamical systems, is one of only three mathematicians to have won the Fields medal, the Abel prize, and the Wolf prize, and is the only one to have received all three of the Leroy P. Steele prizes. In honor of his eightieth birthday, this book gathers together surveys and papers inspired by Milnor's work, from distinguished experts examining not only holomorphic dynamics in one and several variables, but also differential geometry, entropy theory, and combinatorial group theory. The book contains the last paper written by William Thurston, as well as a short paper by John Milnor himself. Introductory sections put the papers in mathematical and historical perspective, color figures are included, and an index facilitates browsing.

Approach for cleaning uncertain data based on information entropy theory

2013 ◽  
Vol 33 (9) ◽  
pp. 2490-2492
Author(s):  
Yuanxiang QIN ◽  
Liang DUAN ◽  
Kun YUE
Keyword(s):  
Information Entropy ◽  
Uncertain Data ◽  
Entropy Theory

scholarly journals Research on Pattern Recognition Method of Blockage Signal in Pipeline Based on LMD Information Entropy and ELM

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Jingzong Yang ◽  
Xiaodong Wang ◽  
Zao Feng ◽  
Guoyong Huang
Keyword(s):  
Pattern Recognition ◽  
Impulse Response ◽  
Information Entropy ◽  
Operating Conditions ◽  
Support Vector ◽  
Entropy Theory ◽  
Pattern Recognition Method ◽  
Response Signal ◽  
Recognition Method ◽  
Learning Machine

Aiming at the nonstationary and nonlinear characteristics of acoustic impulse response signal in pipeline blockage and the difficulty in identifying the different degrees of blockage, this paper proposed a pattern recognition method based on local mean decomposition (LMD), information entropy theory, and extreme learning machine (ELM). Firstly, the impulse response signals of pipeline extracted in different operating conditions were decomposed with LMD method into a series of product functions (PFs). Secondly, based on the information entropy theory, the appropriate energy entropy, singular spectrum entropy, power spectrum entropy, and Hilbert spectrum entropy were extracted as the input feature vectors. Finally, ELM was introduced for classification of pipeline blockage. Through the analysis of acoustic impulse response signal collected under the condition of health and different degrees of blockages in pipeline, the results show that the proposed method can well characterize the state information. Also, it has a great advantage in terms of accuracy and it is time consuming when compared with the support vector machine (SVM) and BP (backpropagation) model.

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