scholarly journals Research on Evaluation of Core Competence of Listed Liquor Companies Based on Grey Relational Degree

2018 ◽  
Vol 22 (1) ◽  
pp. 25-32
Author(s):  
Weimei Zhang
Keyword(s):  
Technological Innovation ◽  
Core Competence ◽  
Critical Factor ◽  
Innovation Capability ◽  
Research On Evaluation ◽  
The Core ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
The Core Competence ◽  
Grey Relational

Abstract The Grey Relational Degree method was applied to evaluating the core competence of the ten listed liquor companies. The study found that: the most critical factor affecting the strength of the core competence of listed liquor companies is the technological innovation capability; in general, the core competence of the ten listed liquor companies is weak, with an average Grey Relational Degree of 0.752, indicating more potentials for improvement; in addition, with the exception of Kweichou Moutai, the other nine listed liquor companies are all in an uncoordinated state regarding the development of the six capabilities, and they usually have one or several capabilities lagged behind.

Analysis on the related factors of China's technological innovation ability using greyness relational degree

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Li ◽  
Xican Li
Keyword(s):  
Real Number ◽  
Technological Innovation ◽  
Number Sequence ◽  
Related Factors ◽  
Content Type ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Innovation Ability ◽  
Grey Number ◽  
Grey Relational

PurposeIn order to make grey relational analysis applicable to the interval grey number, this paper discusses the model of grey relational degree of the interval grey number and uses it to analyze the related factors of China's technological innovation ability.Design/methodology/approachFirst, this paper gives the definitions of the lower bound domain, the value domain, the upper bound domain of interval grey number and the generalized measure and the generalized greyness of interval grey number. Then, based on the grey relational theory, this paper proposes the model of greyness relational degree of the interval grey number and analyzes its relationship with the classical grey relational degree. Finally, the model of greyness relational degree is applied to analyze the related factors of China's technological innovation ability.FindingsThe results show that the model of greyness relational degree has strict theoretical basis, convenient calculation and easy programming and can be applied to the grey number sequence, real number sequence and grey number and real number coexisting sequence. The relational order of the four related factors of China's technological innovation ability is research and development (R&D) expenditure, R&D personnel, university student number and public library number, and it is in line with the reality.Practical implicationsThe results show that the sequence values of greyness relational degree have large discreteness, and it is feasible and effective to analyze the related factors of China's technological innovation ability.Originality/valueThe paper succeeds in realizing both the model of greyness relational degree of interval grey number with unvalued information distribution and the order of related factors of China's technological innovation ability.

scholarly journals Evaluation for Core Competence of Private Enterprises in Xuchang City Based on an Improved Dynamic Multiple-Attribute Decision-Making Model

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Jian-min Shen ◽  
Yao-guo Dang ◽  
Wei-jie Zhou ◽  
Xue-mei Li
Keyword(s):  
Decision Making ◽  
Core Competence ◽  
Multiple Attribute Decision Making ◽  
Private Enterprises ◽  
Multiple Attribute ◽  
Relational Degree ◽  
The Core Competence ◽  
Improved Model ◽  
Decision Making Model ◽  
Grey Relational

Because Deng’s grey relational degree is inconspicuous, Deng’s relational degree with an exponential function is first presented. Then, we demonstrate that improved Deng’s relational degree is more conspicuous than the original model. Then, we construct a multiple-attribute decision-making model, based on improved Deng’s relational degree with multiple stages, and a method for determining the weight of the index is also developed. Finally, the core competence of private enterprises in Henan province is analyzed, illustrating the validity and feasibility of the improved model.

Analisis Kebutuhan Petunjuk Praktikum Berbasis Keterampilan Proses Sains untuk Mencapai Kemampuan Merancang Eksperimen

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Fitriah Khoirunnisa ◽  
Friska Septiani Silitonga ◽  
Veri Firmansyah
Keyword(s):  
Core Competence ◽  
Process Skills ◽  
Learning Materials ◽  
Science Process Skills ◽  
Second Stage ◽  
The Core ◽  
The Core Competence ◽  
Two Stages ◽  
Practical Instruction ◽  
Design Experiments

Penelitian ini bertujuan menganalisis kebutuhan petunjuk praktikum berbasis Keterampilan Proses Sains (KPS) untuk mencapai kemampuan merancang eksperimen pada materi kalor reaksi kalorimetri. Penelitian dilakukan terhadap peserta didik kelas XI SMA Negeri 2 Kota Tanjungpinang. Variabel penelitian mencakup analisis kebutuhan bahan ajar dan analisis kesesuaian Kompetensi Inti (KI) dan Kompetensi Dasar (KD). Jenis penelitian yang dilakukan adalah penelitian deskriptif kualitatif. Tahapan pertama dalam penelitian ini adalah menganalisis kebutuhan bahan ajar dengan cara membandingkan dua petunjuk praktikum yang selama ini telah digunakan di sekolah tersebut, ditinjau dari aspek struktur format penulisan, aspek kreativitas, dan aspek keterampilan proses sains yang terdapat dalam petunjuk praktikum. Sehingga didapatkan kesimpulan bahwa petunjuk praktikum yang selama ini digunakan tidak memberikan kesempatan kepada peserta didiknya untuk merancang eksperimen yang telah ditentukan. Tahapan kedua yaitu menganalisis kesesuaian kompetensi inti dan kompetensi dasar, yang bertujuan untuk menentukan indikator pencapaian kompetensi (IPK) yang akan menjadi acuan dalam mengembangkan petunjuk praktikum berbasis keterampilan proses sains. Dari kedua tahapan yang telah dilakukan maka dapat disimpulkan bahwa peserta didik memerlukan petunjuk praktikum yang mampu mengonstruksi pikiran dan mengaktifkan kinerja mereka, sehingga pendekatan Keterampilan Proses Sains menjadi pilihan dalam mengembangkan petunjuk praktikum yang sesuai dengan karakteristik kurikulum 2013.   This research aims to analyze the needs of Science Process Skills based Practical Instruction to achieve the ability to design experiments on the calor of reaction. This research was done to the students of class XI SMA Negeri 2 Tanjungpinang City. Research Variable includes the analysis of the needs of the learning materials and analysis of the suitability of the Core Competence (KI) and Basic Competence (KD). The type of research conducted is descriptive qualitative research. The first stages in this research is to analyze the needs of learning materials by comparing two practical instructions that had been implementing in the school, from the aspects of the structure of writing format, creativity, and science process skills embedded in practical instructions. The conclusion of this research that current practical instructions does not give an opportunity to the participants to design determined experiments. The second stage, namely analyzing the suitability of core competence and basic competence, which aims to determine the indicators of achievement of the competencies (GPA) which will be a reference in developing process skills-based teaching instructions science. Of the two stages that has been done then it can be concluded that learners need practical instructions to construct  thinking and and their performance, so the Science Process Skills approach is an option in developing practical instruction suitable for the characteristics of the curriculum of 2013.

Use “cross-border E-commerce” multi-dimensional teaching to enhance the core competence of international economics and trade students

2021 ◽  
pp. 002072092110134
Author(s):  
Ying Liu
Keyword(s):  
Core Competence ◽  
Teaching Method ◽  
Close Contact ◽  
Operating Mode ◽  
Theory And Practice ◽  
Practical Training ◽  
The Core ◽  
Cross Border ◽  
The Core Competence ◽  
Employment Quality

For some trade majors who only focus on theoretical studies, they no longer have an advantage in the market. If they do not pay attention to practical training, it will be difficult to gain a foothold in business. In education, people are paying more and more attention to e-commerce. Many schools take “cross-border e-commerce (CBEC)” as a course. This article uses CBEC to implement multi-dimensional teaching, so as to enhance the core competence of trade majors. This research is mainly based on the analysis of the existing teaching program model, and proposes a multi-level, all-round and multi-dimensional teaching method. This article analyzes the current teaching mode of trade major and various related problems in this mode, and proposes a teaching method based on theory and practice in response to the requirements of trade major. In teaching, many teachers will use traditional teaching methods to analyze trade and help students learn about CBEC. If students cannot learn the operating mode of CBEC as soon as possible, it will cause many students to walk out of the school very much. It is difficult to adapt to the requirements of work, and it is also difficult to accept the new CBEC model. This not only affects the employment rate and employment quality of students, but also is not conducive to the transformation and development of foreign trade enterprises. Therefore, we need to teach students based on the market’s demand for CBEC compound talents, let them have close contact with enterprise development, and use school-enterprise cooperation to realize CBEC practical and multi-dimensional teaching in schools, so as to generate training to meet the needs of the cross-e-commerce market Technical personnel.

Air Conditioning Load Prediction of an Office Building based on Long Short Term Memory Neural Network

2021 ◽  
Vol 14 ◽  
Author(s):  
Mengxiang Zhuang ◽  
Qixin Zhu
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Air Conditioning ◽  
Short Term Memory ◽  
Load Prediction ◽  
Short Term ◽  
Grey Relational Degree ◽  
Relational Degree ◽  
Long Short Term Memory ◽  
Grey Relational

Background: Energy conservation has always been a major issue in our country, and the air conditioning energy consumption of buildings accounts for the majority of the energy consumption of buildings. If the building load can be predicted and the air conditioning equipment can respond in advance, it can not only save energy, but also extend the life of the equipment. Introduction: The Neural network proposed in this paper can deeply analyze the load characteristics through three gate structures, which is helpful to improve the prediction accuracy. Combined with grey relational degree method, the prediction speed can be accelerated. Method: This paper introduces a grey relational degree method to analyze the factors related to air conditioning load and selects the best ones. A Long Short Term Memory Neural Network (LSTMNN) prediction model was established. In this paper, grey relational analysis and LSTMNN are combined to predict the air conditioning load of an office building, and the predicted results are compared with the real values. Results: Compared with Back Propagation Neural Network (BPNN) prediction model and Support Vector Machine (SVM) prediction model, the simulation results show that this method has better effect on air conditioning load prediction. Conclusion: Grey relational degree analysis can extract the main factors from the numerous data, which is more convenient and quicker without repeated trial and error. LSTMNN prediction model not only considers the relation of air conditioning load on time series, but also considers the nonlinear relation between load and other factors. This model has higher prediction accuracy, shorter prediction time and great application potential.

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