New applications of fuzzy logic in decision support systems

Metaxiotis, Kostas; Samouilidis, John Emanuel

doi:10.1504/ijmdm.2004.005008

Cited by 13 publications

(6 citation statements)

References 53 publications

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“…The developed method focuses on the micro-location problem because macro-location choices strictly depend on the economic and political strategies of the geographical area under investigation and a detailed classification of decision criteria would be poorly general. Also, fuzzy logic is adopted because it is able to model the uncertainty and vagueness of human reasoning (Metaxiotis et al, 2004) and to give a reliable solution even when data are still scarce and incomplete, like in the first stages of a facility location problem.…”

Section: The Proposed Methods For Selecting the Location Of A Solid Wamentioning

confidence: 99%

A multi-criteria fuzzy method for selecting the location of a solid waste disposal facility

Cagliano

Pilloni

Rafele

2014

IJMDM

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Her main research interests are planning and design of industrial and service facilities, with particular reference to feasibility analysis, location selection, and economic evaluations, facility maintenance, and assessment of the technical and economic performances of production systems. Carlo Rafele is Full Professor of Industrial Facilities and Logistics at Politecnico di Torino (Italy). His main research interests are logistics, supply chain management, project management, and facility planning in several manufacturing and service sectors. He previously worked for a contractor of automated systems.

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Section: The Proposed Methods For Selecting the Location Of A Solid Wamentioning

confidence: 99%

A multi-criteria fuzzy method for selecting the location of a solid waste disposal facility

Cagliano

Pilloni

Rafele

2014

IJMDM

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“…It limits the area of usage of the methods because input data (results of observation or measurement) can mostly be characterized as ambiguous. Ambiguity means that the data cannot be expressed by numbers [11], [12]. For example, it is expert estimation.…”

Section: Intelligent Methods In Educationmentioning

confidence: 99%

Educational portal with Data Mining support for pupils of primary schools

Levashenko

Zaitseva

Kostolny

2013

The International Conference on Digital Technologies 2013

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Methodological and application aspects of elaboration of Attractive Virtual Educational Portal for pupils of primary school with Data Mining support are considered in this paper. The conceptual structure of the Portal is presented. This structure consists of four layers that ensure the Portal, support of learning process, individual adaptation for teachers and pupils and intelligent analysis of education result based on methods of Data Mining such as Fuzzy Decision Trees.

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“…Fuzzy logic methods are expected to offer benefits to marketing decision makers when integrated with current MkMSS (Metaxiotis, Psarras, & Samouilidis, 2004). The fuzzy system will allow us to represent adequately the interdependence of variables and the non-linear relationships that could exist between them.…”

Section: Knowledge Representation By Fuzzy Rulesmentioning

confidence: 99%