2004
DOI: 10.1016/s0377-2217(03)00033-x
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Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area

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Cited by 34 publications
(15 citation statements)
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“…Abacoumkin and Gallis [49] examined the possibility of increasing the productivity of terminal equipment on the road-railway inland terminals in Europe on the basis of defined parameters of terminal design and selection of terminal equipment. For this purpose, an expert system has been developed as a part of an integrated modelling tool with the aim of comparative design assessment of conventional and advanced railroad terminals.…”
Section: Technological Processes In Inland Terminalsmentioning
confidence: 99%
“…Abacoumkin and Gallis [49] examined the possibility of increasing the productivity of terminal equipment on the road-railway inland terminals in Europe on the basis of defined parameters of terminal design and selection of terminal equipment. For this purpose, an expert system has been developed as a part of an integrated modelling tool with the aim of comparative design assessment of conventional and advanced railroad terminals.…”
Section: Technological Processes In Inland Terminalsmentioning
confidence: 99%
“…Cluster analysis, a more specific portfolio method, groups alternatives according to their support of the strategic positioning of the firm (Mathieu and Gibson 1993). Finally, decision analysis and simulation methods use random numbers and simulation to generate a large number of problems and pick the best outcome (Abacoumkin and Ballis 2004;Paisittanand and Olson 2006). Recently, strategic management researchers have focused on MCDA models to integrate the intuitive preferences of multiple DMs into structured and analytical frameworks (Bailey et al 2003;Costa et al 2003;Hsieh et al 2004;Liesiö et al 2007;Tavana 2006).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Decision analysis models compare various projects according to their expected value (Hazelrigg and Huband 1985;Thomas 1985). Finally, simulation, a special form of decision analysis, uses random numbers and simulation to generate a large number of problems and pick the best outcome (Abacoumkin and Ballis 2004;Mandakovic and Souder 1985;Paisittanand and Olson 2006). MCDA considers three types of problems: ranking of a finite set of alternatives, choosing the best alternative and clustering alternatives in similarity groups in terms of a finite number of objective and subjective criteria.…”
Section: Review Of Relevant Literaturementioning
confidence: 99%