An Information Entropy Based Approach to Multiple Attribute Decision Making with Attribute Values in the Form of Interval Numbers

Zhou, Qingjian; Jia, Jiao

doi:10.1109/iccis.2013.209

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction2

Results1

Plos One1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2014

2024

Publication Types

Select...

Article5

Relationship

Self Cite3

Independent2

Authors

Journals

Cited by 6 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…is degraded into a real number, as in [2,4]. Triangular fuzzy numbers can express uncertain information very well.…”

Section: Resultsmentioning

confidence: 99%

The ordered weighted averaging algorithm to multiple attribute decision making within triangular fuzzy numbers

Zhou¹,

Jia²

2014

ams

Self Cite

View full text Add to dashboard Cite

show abstract

“…is degraded into a real number, as in [2,4]. Triangular fuzzy numbers can express uncertain information very well.…”

Section: Resultsmentioning

confidence: 99%

The ordered weighted averaging algorithm to multiple attribute decision making within triangular fuzzy numbers

Zhou¹,

Jia²

2014

ams

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to determine the attribute weight of each air quality index and scheme evaluation, the characteristic root method is employed by this paper for determining the attribute weight of each attribute index [30].…”

Section: Plos Onementioning

confidence: 99%

Research of the impact of economic decline on air quality in Wuhan under COVID-19 epidemic

Qiu

You

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

A novel economic impact model is proposed by this paper to analyze the impact of economic downturn on the air quality in Wuhan during the epidemic period, and to explore the effective solutions to improve the urban air pollution. The Space Optimal Aggregation Model (SOAM) is used to evaluate the air quality of Wuhan from January to April in 2019 and 2020. The analysis results show that the air quality of Wuhan from January to April 2020 is better than that of the same period in 2019, and it shows a gradually better trend. This shows that although the measures of household isolation, shutdown and production stoppage adopted during the epidemic period in Wuhan caused economic downturn, it objectively improved the air quality of the city. In addition, the impact of economic factors on PM2.5, SO2 and NO2 is 19%, 12% and 49% respectively calculated by the SOMA. This shows that industrial adjustment and technology upgrading for enterprises that emit a large amount of NO2 can greatly improve the air pollution situation in Wuhan. The SOMA can be extended to any city to analyze the impact of the economy on the composition of air pollutants, and it has extremely important application value at the level of industrial adjustment and transformation policy formulation.

show abstract

“…In many situations, attribute values are given in the form of triangular fuzzy number. So far a lot of research has been done to it, see [1][2][3][4]. In this paper, firstly we use Mean Area to express the corresponding triangular fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%

The mean area measurement method to multiple attribute decision making within triangular fuzzy numbers

Wang¹,

Meng²,

Ma³

et al. 2015

ams

Self Cite

View full text Add to dashboard Cite

show abstract

An Information Entropy Based Approach to Multiple Attribute Decision Making with Attribute Values in the Form of Interval Numbers

Cited by 6 publications

References 9 publications

The ordered weighted averaging algorithm to multiple attribute decision making within triangular fuzzy numbers

The ordered weighted averaging algorithm to multiple attribute decision making within triangular fuzzy numbers

Research of the impact of economic decline on air quality in Wuhan under COVID-19 epidemic

The mean area measurement method to multiple attribute decision making within triangular fuzzy numbers

Contact Info

Product

Resources

About