Task oriented weighting in multi-criteria analysis

Yeh, Chung‐Hsing; Willis, Robert J.; Deng, Hepu; Pan, Hongqi

doi:10.1016/s0377-2217(98)90353-8

Cited by 69 publications

(47 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Spatial multi-criteria analysis (SMCA) was first described by van Herwijnen (1999). The weakness and most challenging problem in MCA is to create weights that are credible and justifiable (Yeh et al 1999). Weights determine the preferences for criteria from an individual point of view, and are therefore a reflection of stakeholders' perceptions.…”

Section: Spatial Multi-criteria Analysis (Smca) Land Use and Flood Rmentioning

confidence: 99%

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

2008

View full text Add to dashboard Cite

The conventional method of risk analysis (with risk as a product of probability and consequences) does not allow for a pluralistic approach that includes the various risk perceptions of stakeholders or lay people within a given social system. This article introduces a methodology that combines the virtues of three different methods: the quantifiable conventional approach to risk; the taxonomic analysis of perceived risk; and the analytical framework of a spatial multi-criteria analysis. This combination of methods is applied to the case study 'Ebro Delta' in Spain as part of the European sixth framework project 'Floodsite'. First, a typology for flood hazards is developed based on individual and/or stakeholders' judgements. Awareness, worry and preparedness are the three characteristics that typify a community to reflect various levels of ignorance, perceived security, perceived control or desired risk reduction. Applying 'worry' as the central characteristic, a trade-off is hypothesized between Worry and the benefits groups in society receive from a risky situation. Second, this trade-off is applied in Spatial Multi-Criteria Analysis (SMCA). MCA is the vehicle that often accompanies participatory processes, where governmental bodies have to decide on issues in which local stakeholders have a say. By using risk perception-scores as weights in a standard MCA procedure a new decision framework for risk assessment is developed. Finally, the case of sea-level rise in the Ebro Delta in Spain serves as an illustration of the applied methodology. Risk perception information has been collected with help of an on-site survey. Risk perception enters the multi-criteria analysis as complementary weights for the criteria risk and benefit. The results of the survey are applied to a set of scenarios representing both sea-level rise and land subsidence for a time span of 50 years. Land use alternatives have been presented to stakeholders in order to provide the regional decision maker with societal preferences 123Nat Hazards (2008) 46:307-322 DOI 10.1007 for handling risk. Even with limited resources a characteristic 'risk profile' could be drawn that enables the decision maker to develop a suitable land use policy.

show abstract

Section: Spatial Multi-criteria Analysis (Smca) Land Use and Flood Rmentioning

confidence: 99%

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

2008

View full text Add to dashboard Cite

show abstract

“…The MAMCA methodology allows open interviewing to identify the stakeholder objectives [51,52] or validation of a predefined list of possible interests to determine the objectives [44]. For this application, the individual stakeholders evaluated a list of apposite interests, which were aggregated according the direct ranking and rating approach [53] in specific criteria per stakeholder group.…”

Section: Assessment Methodologymentioning

confidence: 99%

A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways

2013

View full text Add to dashboard Cite

Even though road transport is an essential part of freight distribution, there is a lack of customized routing networks to convey freight over the road. The present paper addresses this deficit by proposing general principles to elaborate a regional freight route network in Flanders. However, assigning regional freight traffic to a particular road network involves complex trade-offs between multiple interests, such as corporate accessibility, communal livability, additional network links and available space. The paper recommends the multi-actor multi-criteria assessment tool (MAMCA) to incorporate stakeholder objectives in the evaluation of possible freight network scenarios. The tool is applied for the specific case of Anzegem, a road village amid regional freight attraction poles that suffers particularly from heavy freight flows. The impact of four alternative ring ways is assessed according to the interests of the involved parties and compared to the reference scenario. Results show that transport companies advocate supra-local accessibility, while governmental and citizen stakeholders value traffic safety and livability. Since the reference scenario does not comply with these critical stakeholder objectives, an alternate scenario is proposed. As such, MAMCA applications assist policy-makers in building consensus among multiple actors in the realization of transportation projects. OPEN ACCESSSustainability 2013, 5 4223

show abstract

“…An inverse pairwise comparison matrix was devised based on a numerical evaluation scale of 1-9 [32]. In various studies of uncertainty with vagueness, impression, and complexity, expert opinion can provide a rational method by which human knowledge for making decisions is incorporated in an adaptive and flexible manner [33][34][35]. Therefore, the weights for the TLE statistics could be rationally obtained by an AHP technique based on expert systems.…”

Section: Patent Statistics For Tlementioning

confidence: 99%

Technological-level evaluation using patent statistics: model and application in mobile communications

Cho

Park

2014

Cluster Comput

View full text Add to dashboard Cite

Information and communication technology (ICT) has been a driving force of development for knowledgebased economies. In particular, as competition in mobile communications technological innovation among nations becomes more intense, there are growing demands for improved evaluation, judgment, and prediction of mobile communications technological capability in order to improve national ICT competitiveness. Technological capability refers to conceptual-level elements that capture technological competitiveness in operation. A technological level can be defined for making comparisons of one technological capability with another. Patent statistics have been used by economists and researchers in the field of innovation to analyze current and forecast technological directions. This paper evaluates relative technological capability in terms of patent statistics for some technology domains. We propose a patent statistic model for relative technological capability based on patent activity, intensity, market-power, and citation index for mobile communications technologies at a national level. In particular, it gives a technological-level evaluation of 3G, 3G transitional, and 4G mobile communications for the US, EU, Japan, China, and Korea.

show abstract

Task oriented weighting in multi-criteria analysis

Cited by 69 publications

References 34 publications

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways

Technological-level evaluation using patent statistics: model and application in mobile communications

Contact Info

Product

Resources

About