scholarly journals Research on Brand Value Evaluation Methods of Bank Enterprises

2016 ◽  
Author(s):  
Huali Cai ◽  
Fang Wu ◽  
Jian Kang ◽  
Qi Duan ◽  
Yawei Jiang
Keyword(s):  
Evaluation Methods ◽  
Brand Value ◽  
Value Evaluation

scholarly journals A Study for Improvement of The Qualification System through The Value Evaluation Methods

2015 ◽  
Vol 17 (1) ◽  
pp. 193-201
Author(s):  
Byung-Han Jung ◽  
Jae-Hyun Park ◽  
Kwang-Mo Yang ◽  
Sung-Woo Kang ◽  
Kyung-Sik Kang
Keyword(s):  
Evaluation Methods ◽  
Value Evaluation

scholarly journals Brand Image Theoretical Aspects

2018 ◽  
Vol 2 (1) ◽  
pp. 116
Author(s):  
Margarita Išoraitė
Keyword(s):  
Capital Market ◽  
Brand Image ◽  
Evaluation Model ◽  
Brand Value ◽  
Value Assessment ◽  
Assessment Methodology ◽  
Brand Name ◽  
High Quality ◽  
Value Evaluation ◽  
Value Model

The article analyzes the image of a brand and a brand image, brand value assessment methods, brand value, and benefits. A brand is a word or phrase that identifies and separates goods belonging to one person from belonging to another person. A brand is one of the elements of marketing, advertising. High-quality brand brings significant benefits to the manufacturer or the trader. A brand name may consist of a brand name and a brand symbol. There is several brand value evaluation model analyze in the article, like capital market-oriented brand value model, Aaker's brand value model, the Interbrand Brand Assessment Methodology, which helps evaluate brand value and benefit.

scholarly journals Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Dong Huo
Keyword(s):  
Wireless Network ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Methods ◽  
Basketball Player ◽  
Bayesian Algorithm ◽  
Basketball Players ◽  
Value Evaluation ◽  
Selection Of

AbstractThe selection of basketball players should highlight their specific characteristics and proceed according to the essential laws of basketball. When the acquired training level becomes closer and closer, and is more and more conducive to the control of the entire training and competition, the selection of the standard paradigm of basketball players plays a key role. At present, the existing evaluation methods of basketball players are limited to the human experience of coaches, and there is a lack of further information evaluation methods. This article discusses a new type of basketball player evaluation scheme that combines wireless network and machine learning methods. First, the wireless sensor network is used to perceive basketball players' performance on the court and record various evaluation indicators. Secondly, establish a player value evaluation model through improved Bayesian algorithm and fuzzy comprehensive evaluation methods. Finally, after relevant tests and comparisons with the coaches' results, the model showed better evaluation results and a fairer value distribution.

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