The performance evaluation model of mining project founded on the weight optimization entropy value method

Chao Mao; Shou Chen

doi:10.1117/12.2266146

23 January 2017 The performance evaluation model of mining project founded on the weight optimization entropy value method

Chao Mao, Shou Chen

Author Affiliations +

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103222H (2017) https://doi.org/10.1117/12.2266146
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

According to the traditional entropy value method still have low evaluation accuracy when evaluating the performance of mining projects, a performance evaluation model of mineral project founded on improved entropy is proposed. First establish a new weight assignment model founded on compatible matrix analysis of analytic hierarchy process (AHP) and entropy value method, when the compatibility matrix analysis to achieve consistency requirements, if it has differences between subjective weights and objective weights, moderately adjust both proportions, then on this basis, the fuzzy evaluation matrix for performance evaluation. The simulation experiments show that, compared with traditional entropy and compatible matrix analysis method, the proposed performance evaluation model of mining project based on improved entropy value method has higher accuracy assessment.

Citation Download Citation

Chao Mao and Shou Chen "The performance evaluation model of mining project founded on the weight optimization entropy value method", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103222H (23 January 2017); https://doi.org/10.1117/12.2266146

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available