2015
DOI: 10.1007/978-3-319-12586-2
|View full text |Cite
|
Sign up to set email alerts
|

Weighting Methods and their Effects on Multi-Criteria Decision Making Model Outcomes in Water Resources Management

Abstract: More information about this series at

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
178
0
11

Year Published

2016
2016
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 265 publications
(189 citation statements)
references
References 50 publications
(96 reference statements)
0
178
0
11
Order By: Relevance
“…In this paper, the entropy determines the weights of r ij presented by a factor score of factors of resilience extracted from factor analysis (FA) (evaluating criteria R j ) and EU-28 NUTS-2 regions (compared alternatives or variant A i ). For more information about the properties of entropy indices, see Bellù and Liberati (2006) or Zardari, Ahmed, Shirazi, and Yusop (2015) who describe the advantages and disadvantages of the weighting based on entropy. The entropy method is a measure of uncertainty in the information formulated using probability theory.…”
Section: Methodology and Structure Of The Cwirrmentioning
confidence: 99%
“…In this paper, the entropy determines the weights of r ij presented by a factor score of factors of resilience extracted from factor analysis (FA) (evaluating criteria R j ) and EU-28 NUTS-2 regions (compared alternatives or variant A i ). For more information about the properties of entropy indices, see Bellù and Liberati (2006) or Zardari, Ahmed, Shirazi, and Yusop (2015) who describe the advantages and disadvantages of the weighting based on entropy. The entropy method is a measure of uncertainty in the information formulated using probability theory.…”
Section: Methodology and Structure Of The Cwirrmentioning
confidence: 99%
“…The objective weighting methods obtain the weights only based on the known data of the problem and determine criteria weights by making use of the mathematical models (Aalianvari et al 2012;Zardari et al 2015). These kinds of methods may be particularly appropriate for situations when not only decision makers are non-existent but subjective weights obtained in the presence of decision makers are inconsistent as well.…”
Section: Objective Weighting Methodsmentioning
confidence: 99%
“…In statistical terms, because standard deviation measures the distribution of numbers, it is one of the best weighting methods. The basic principle of standard deviation is that when the data of one indicator present large differences among multiple evaluated objects, the standard deviation of this indicator must be high [33]. The value of an indicator"s standard deviation is directly proportional to its contribution to the integrated formula of all indicators.…”
Section: D) Indicators Of Contributor Qualitymentioning
confidence: 99%