A semi-automated approach for structuring multi criteria decision problems

Maier, Konradin; Stix, Volker

doi:10.1016/j.ejor.2012.10.018

Cited by 9 publications

(4 citation statements)

References 24 publications

(30 reference statements)

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“…human information processing capabilities more than the entire problem [54]. AHP is based on pairwise comparisons of criteria to establish the weights and alternatives to evaluate performance [55].…”

Section: Energy Efficiency In Automotive Engineeringmentioning

confidence: 99%

“…It allows the creation of an understandable hierarchical model by the decomposition of complex problems [53]. Smaller parts of the problem can be handled by human information processing capabilities more than the entire problem [54]. AHP is based on pairwise comparisons of criteria to establish the weights and alternatives to evaluate performance [55].…”

Section: Introductionmentioning

confidence: 99%

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A review on multi-criteria decision-making for energy efficiency in automotive engineering

Castro¹,

Parreiras

2020

ACI

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Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.

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Section: Energy Efficiency In Automotive Engineeringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A review on multi-criteria decision-making for energy efficiency in automotive engineering

Castro¹,

Parreiras

2020

ACI

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“…Despite the critical and fundamental role of attributes in decision analysis, the inadequacy of problem structuring and efforts for attributes identification in the decision modeling process is well documented (see, e.g., von Winterfeldt and Fasolo 2009;Tiesmeier 2016;Belton 1999). Maier and Stix (2013), Belton (1999), and Keeney and Gregory (2005), among others, raised awareness that far too little attention has been paid to the manner in which a list of attributes and their contextual structures are obtained. Specifically, much of the literature on decision analysis neglects the role of problem structuring and thorough investigations on attributes as the primary task for structuring a decision-making model (Franco and Montibeller 2010).…”

Section: Knowledge Gaps and The Necessitymentioning

confidence: 99%

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

Zamanifar

Hartmann

2021

Environ Syst Decis

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This paper proposes a framework to systematically evaluate and select attributes of decision models used in disaster risk management. In doing so, we formalized the attribute selection process as a sequential screening-utility problem by formulating a prescriptive decision model. The aim is to assist decision-makers in producing a ranked list of attributes and selecting a set among them. We developed an evaluation process consisting of ten criteria in three sequential stages. We used a combination of three decision rules for the evaluation process, alongside mathematically integrated compensatory and non-compensatory techniques as the aggregation methods. We implemented the framework in the context of disaster resilient transportation network to investigate its performance and outcomes. Results show that the framework acted as an inclusive systematic decision aiding mechanism and promoted creative and collaborative decision-making. Preliminary investigations suggest the successful application of the framework in evaluating and selecting a tenable set of attributes. Further analyses are required to discuss the performance of the produced attributes. The properties of the resulting attributes and feedback of the users suggest the quality of outcomes compared to the retrospective attributes that were selected in an unaided selection process. Research and practice can use the framework to conduct a systematic problem-structuring phase of decision analysis and select an equitable set of decision attributes.

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“…(6) CRPs in MAGDM. In some GDM problems, decision-makers evaluate alternatives based on multiple attributes (e.g., Greco et al, 2014;Maier and Stix, 2013), which is known as MAGDM problems. As in the case of GDM, many CRPs have also been proposed for MAGDM problems.…”

Section: Literature Review On Crpsmentioning

confidence: 99%

Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design

Zhang

Dong

Chiclana

et al. 2019

European Journal of Operational Research

288

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A semi-automated approach for structuring multi criteria decision problems

Cited by 9 publications

References 24 publications

A review on multi-criteria decision-making for energy efficiency in automotive engineering

A review on multi-criteria decision-making for energy efficiency in automotive engineering

A prescriptive framework for recommending decision attributes of infrastructure disaster recovery problems

Consensus efficiency in group decision making: A comprehensive comparative study and its optimal design

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