Modeling of neuro-fuzzy system as a support in decision-making processes

Darko I. Božanić · Duško Tešić · Dragan Marinković · Aleksandar Milić

83 citations0/0 files storedReports in Mechanical Engineering

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Multi-Criteria Decision Making Decision Support System Applications Fuzzy Logic and Control Systems

Abstract

In the paper is presented Neuro-Fuzzy System as a decision-making support in the selection of construction machines (the example of selecting a loader is provided). Construction characteristics of a loader make the basis for selection, but also other elements of importance. The data for Neuro-Fuzzy System modeling are prepared using the Multi-Criteria Decision Making (MCDM) methods: Logarithm Methodology of Additive Weights (LMAW), VIKOR, TOPSIS, MOORA and SAW. The paper also presents the method of aggregation of weights of rules premises (AWRP), which defines the key rules of Neuro-Fuzzy System. Finally, the training of the model is tested. The data for the selection of input variables and for model training are obtained by engaging experts.

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References

2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS 2006The MOORA method and its application to privatization in a transition economy 2001The AHP approach for selecting an automobile purchase model 2021Einstein Geometric Aggregation Operators using a Novel Complex Interval-valued Pythagorean Fuzzy Setting with Application in Green Supplier Chain Management 2021A NEW LOGARITHM METHODOLOGY OF ADDITIVE WEIGHTS (LMAW) FOR MULTI-CRITERIA DECISION-MAKING: APPLICATION IN LOGISTICS 2014The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems 2010Deriving preference order of open pit mines equipment through MADM methods: Application of modified VIKOR method 2019An Application of Analytic Hierarchy Process (AHP) for Sustainable Procurement of Construction Equipment: Multicriteria‐Based Decision Framework for Malaysia

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2022Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making 2022A fuzzy Einstein-based decision support system for public transportation management at times of pandemic 2024A historical review and analysis on MOORA and its fuzzy extensions for different applications

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