Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)

Research on Evaluation Index Weight Under the Condition of Random

Authors
Xuefeng WANG
Corresponding Author
Xuefeng WANG
Available Online 20 December 2019.
DOI
10.2991/aebmr.k.191217.178How to use a DOI?
Keywords
index weight, random variables, uniform distribution
Abstract

In the process of economic evaluation, the determination of the weight of each index in the index system is the focus and difficulty of the evaluation work. There are many studies on the determination of weight in various literature, but each has its advantages, disadvantages and limitations in specific application. In this paper, by calculating the expectation and variance, we discuss the normalization and non-normalization of weights, and illustrate the arithmetic by numerical examples, which provides a method and idea for simplifying the evaluation process.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
Series
Advances in Economics, Business and Management Research
Publication Date
20 December 2019
ISBN
10.2991/aebmr.k.191217.178
ISSN
2352-5428
DOI
10.2991/aebmr.k.191217.178How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xuefeng WANG
PY  - 2019
DA  - 2019/12/20
TI  - Research on Evaluation Index Weight Under the Condition of Random
BT  - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019)
PB  - Atlantis Press
SP  - 1035
EP  - 1038
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.191217.178
DO  - 10.2991/aebmr.k.191217.178
ID  - WANG2019
ER  -