Decerns: A Framework for Multi-Criteria Decision Analysis

Yatsalo, Boris; Didenko, Vladimir; Gritsyuk, Sergey; Sullivan, T.M.

doi:10.1080/18756891.2015.1023586

Cited by 39 publications

(28 citation statements)

References 53 publications

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“…Implementation of FMAA for a fuzzy extension of MAVT, FMAVT-FMAA, is described. This method has been implemented in the Decision Support System DecernsMCDA [39] and allows treating uncertainty of criterion values and weight coefficients based on the use of fuzzy numbers.…”

Section: Discussionmentioning

confidence: 99%

“…The calculated FRAIs for this multicriteria problem are presented in Fig.3. The results of ranking alternatives according to different MCDA methods [39] are presented in Table 1. Even though, different MCDA methods may give different results in ranking alternative (e.g., see the results for MAVT and TOPSIS, Table 1), but for "relatively robust situation" corresponding results for choice and ranking multicriteria problems are identical or "relatively close", as we have in Table 1.…”

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

“…To demonstrate the implementation of FMAVT-FMAA, we present here only some its outputs within a multicriteria housing development problem [41]; the use of different MCDA methods, including FMAVT-FMAA, for analysis of this problem with subsequent comparison of the output results, has been considered in details in [39].…”

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

“…For assessing criteria, GIS-functions from DecernsSDSS tools [39,41] were used (for 3 distance-based criteria) along with expert and economic evaluation (for 2 criteria) [41]. Eight MADM methods, incorporated in Decerns, including FMAA (FMAVT-FMAA), were used to select the "best" alternative.…”

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

“…FMAA on the basis of FMAVT method (2)- (4), FMAVT-FMAA, was implemented in the Decision Support System (DSS) DecernsMCDA [39].…”

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

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A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

Yatsalo

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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The suggested approach, FMAA (Fuzzy Multicriteria Acceptability Analysis), assimilates uncertainties/ imprecisions of objective values and subjective judgments within the discrete Multi-Criteria Decision Analysis (MCDA). The presented algorithm for FMAA implementation utilizes fuzzy criterion values and fuzzy weight coefficients based on the use of fuzzy numbers, integral measure to assess the difference of fuzzy numbers, and determination of the fuzzy measure of "a Fuzzy Rank Statement", which is based on pairwise comparison of alternatives in an integrated scale. Implementation of FMAA based on one of the MCDA methods (MAVT) is discussed.

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Section: Discussionmentioning

confidence: 99%

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

“…FMAA on the basis of FMAVT method (2)- (4), FMAVT-FMAA, was implemented in the Decision Support System (DSS) DecernsMCDA [39].…”

Section: µ(I1)) or Ranking Alternatives If Appropriate (Maximizingmentioning

confidence: 99%

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A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

Yatsalo

2015

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

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Multicriteria Decision Analysis Applied to Sponge City Construction in China: A Case Study

Qin

2019

Integr Envir Assess & Manag

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To address stormwater management, China initiated the construction of sponge cities (SPCs) in 2014. Sponge city construction in China has previously been evaluated using subjective expert methods. Based on China's SPC evaluation regulations, the evaluation criteria system was divided into 6 categories and 22 indicators. This study presents a multicriteria approach to evaluating SPC construction through multicriteria attributes value theory (MAVT). Coupled with the entropy method, this approach can reduce errors caused by individual methods. This work improved the evaluation method from a subjective to an objective method. Additionally, the sensitivity of an alternative to these criteria was conducted. The analysis reveals the inner relationship between the SPC alternative and the criteria. The city of Hebi, an actual SPC project, was selected as a case study. The findings indicate that the proposed approach is efficient and simple. It can help decision makers better understand SPC performance, and it is a pilot SPC evaluation method using relatively objective means. Integr Environ Assess Manag 2019;15:703–713. © 2019 SETAC.

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Multicriteria Decision Analysis Characterization of Chemical Hazard Assessment Data Sources

Malloy

Schoenung

2019

Integr Envir Assess & Manag

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Chemical hazard assessment (CHA), which aims to investigate the inherent hazard potential of chemicals, has been developed with the purpose of promoting safer consumer products. Despite the increasing use of CHA in recent years, finding adequate and reliable toxicity data required for CHA is still challenging due to issues regarding data completeness and data quality. Also, collecting data from primary toxicity reports or literature can be time consuming, which promotes the use of secondary data sources instead. In this study, we evaluate and characterize numerous secondary data sources on the basis of 5 performance attributes: reliability, adequacy, transparency, volume, and ease of use. We use GreenScreen for Safer Chemicals v1.4 as the CHA framework, which defines the endpoints of interest used in this analysis. We focused upon 34 data sources that reflect 3 types of secondary data: chemical‐oriented data sources, hazard‐trait–oriented data sources, and predictive data sources. To integrate and analyze the evaluation results, we applied 2 multicriteria decision analysis (MCDA) methodologies: multiattribute utility theory (MAUT) and stochastic multiobjective acceptability analysis (SMAA). Overall, the findings in this research program allow us to explore the relative importance of performance criteria and the data source quality for effectively conducting CHA. Integr Environ Assess Manag 2019;00:1–14. © 2019 SETAC

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Decerns: A Framework for Multi-Criteria Decision Analysis

Cited by 39 publications

References 53 publications

A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

A New Approach to Fuzzy Multi-Criteria Acceptability Analysis

Multicriteria Decision Analysis Applied to Sponge City Construction in China: A Case Study

Multicriteria Decision Analysis Characterization of Chemical Hazard Assessment Data Sources

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