Applied Research Based on the Fibonacci Sequence NBA Center Performance Evaluation

: The purpose of this paper study is the application of the “Fibonacci sequence” a new perspective and dimension, select five NBA excellent center players performance evaluation, and thus the size and ranking of the performance of the five players. Five players the pros and cons of the career data with the size of the Fibonacci sequence study the performance of players and then compare to see if consistent harmonious Fibonacci sequence of the universe, thus can be extended to other good players in the league performance evaluation, which provide a way for the players performance evaluation.


INTRODUCTION
Through literature review found that: many scholars domestic and abroad for the players performance evaluation of multi-season valuate the performance of the players also confined to a single season and can not form a system to evaluate.Raised the Fibonacci sequence used in the performance evaluation of the players able to solve such problems, this is a major innovation in the research.The purpose is too conducted by the Fibonacci sequence systematic players to the NBA's top five outstanding center at this stage of the respective players performance compare to get the best players performance (Gong, 2001).
Each season data for comparison to evaluate the performance of the players with players through the application of the Fibonacci sequence, you can objectively more accurately reflect the expected results, also be able to reverse to test the performance of the players.As Duncan won the 1998 Rookie of the Year; 2000 All-Star Game Most Valuable Player "; elected" Most Valuable Player of the year twice in 2002 and 2003, and led his team to the effectiveness of the team four championship, at the same time the individual was also elected the most Valuable Player of the 2003 NBA Finals players become NBA history to enter the finals three head twice honored (the first two are Magic Johnson and Michael Jordan ) and six consecutive NBA All-Star the best team and the best defensive team, enjoys a reputation as the "Buddha" said.Each season with perfect data "Fibonacci sequence" surprisingly similarly.So, Duncan is the greatest in the past 10 years the influence of the biggest players (Xu and Hu, 2007).Not so strange to have such success.His strength and performance tends to be more perfect, "Fibonacci sequence" is the tallest player in the evaluation of players in the performance (Wang, 2002).

METASYNTHESIS RESEARCH METHODS, OBJECT
"Mathematical Fibonacci sequence" is referred to as aesthetic harmonious formulas.800 years ago.The Italian mathematician Fibonacci published masterpiece "abacus book famous rabbit raw rabbit problem.Simple Fibonacci sequence is a set of infinite series of numbers 1, led by a number by the sum of the previous two numbers in the past centuries, mathematicians and university students as a treasure.From the technical level, the Fibonacci sequence is not found in nature, but the series with pine cones, sunflowers and other biological growth mode are surprisingly similarespecially a lot of harmless creatures.Fibonacci sequence implied number of columns arranged in principle in the last century, the composer applied music (Huang, 2010).Therefore, we can use the data column extended to everything in the universe, proposed Fibonacci sequence used in the performance evaluation of the players (Huang, 1997).
The season average of the five people selected the NBA All-Star level center Yao Ming, Pau Gasol, Amare Stoudemire, Shaquille O'Neal, Tim Duncan technical data related statistics.Used mainly in the study of mathematical statistics and processing methods and collect the players performance literature as a theoretical support (Guo, 2001).

BASIC MODEL
Proposed with player evaluation comparison of the Fibonacci sequence.The main indicators considered in the evaluation of the players have to score, rebounds, and the number of shooting, shooting, free throws, hits, steals, blocks, assists these indicators, the center player is no exception (Table 1) Shown Table 2, 8 conventional indicators as a reaction to the competitive level of the center players, evaluate the performance of the player's personal value and contribution to the team.
Performance, purely from the point of view of linguistics contains achievements and effective means.In economic management activities, socio-economic results and the effectiveness of management activities; sed in the management of human resources, the behavior of the subject or the results of the input-output ratio; measure of the effect of government activities in the public sector, is the concept of a diversified objectives, including; from the management perspective, the organization expected the organization to achieve its objectives and to show different levels of effective output, which includes both individual performance and organizational performance (Zhang and Xu, 1997), Difficult to find from the above interpretation of performance, evaluation of the effect of material activities.Therefore, the application in the evaluation of players refers to the size of the achievements of the efficiency of individual players and helps the team.
Comprehensive model: Yao Ming season data (Table 3).Yao Ming season average data, Fibonacci sequence comparison with Yao Ming season average data (Table 4).
Yao Ming season average data calculated Fibonacci sequence to achieve the growth pattern from the standard deviation of 9.376 units.Yao Ming's season average data through the Fibonacci list of the following diagram (Table 5).Yao Ming From the standard deviation of 9.376 units.
Gasol season data (Table 6).Gasol each season average data analysis, Fibonacci sequence comparison with Gasol season average data (Table 7).
Gasol from the standard deviation of 8.578 units Stoudemire season data (Table 9).
Stoudemire season average data analysis, Fibonacci sequence comparison with Stoudemire season average data (Table 10).
With Stoudemire season average data to achieve the growth pattern of the Fibonacci sequence Stoudemire season average data calculated from the standard deviation of 7.158 units.So, Stoudemire season average data after the Fibonacci list of the following diagram (Table 11).
Stoudemire from the standard deviation of 7.158 units O'Neill season data.(Table 12).
Season average data analysis, Fibonacci sequence comparison with O'Neal season average data (Table 13).
O'Neal's season average data calculated to achieve the growth pattern of the Fibonacci sequence distance standard was only 3.218 units.So, O'Neal each season average data after the Fibonacci list of the following diagram (Table 14).O'Neill Short of the 3.218 units from the Standard Duncan season data (Table 15).
Duncan each season average data analysis, Fibonacci sequence comparison with Duncan season average data(Table 16).
Duncan's season average data calculated to achieve the law of growth of the Fibonacci sequence distance criteria was only 2.292 units.So, Duncan season average data after the Fibonacci list of the following diagram (Table 17).

CONCLUSION
To five players each season with the data "Fibonacci sequence" contrast, players from the perfect Fibonacci sequence difference in basketball technical indicators: Yao 9.376, Gasol 8.578Stoudemire 7.158 O'Neal 3.218, Duncan 2.292 unitsFive players with perfect Fibonacci sequence "in basketball technical indicators, the standard deviation of the distance for Duncan, and the smallest just under 2.292 units.
The five players with the perfect close to the Fibonacci sequence "ranking: Duncan, O'Neal, A Stoudemire, Pau Gasol, Yao Ming., Duncan Over the last few seasons since their.
Player Duncan performance the most prominent, better than the other four players, is the highest performance players.

Table 4 :
Fibonacci sequence comparison with Yao Ming season average data

Table 5 :
Yao Ming basketball career data is reached by the Fibonacci • Difference of five players with perfect Fibonacci sequence "in basketball technical indicators, the standard deviation of the distance for Duncan, and the smallest just under 2.292 units.• The five players with the perfect close to the Fibonacci sequence "ranking: Duncan, O'Neal, A Stoudemire, Pau Gasol, Yao Ming., Duncan Over the last few seasons since their performance the most prominent, better than the other four players, is the highest performance players.

Table 6 :
Gasol season average data

Table 18 :
Players last season the difference of the data with