We propose a hybrid decision support methodology, using data provided by both experts and other available sources.

Abstract: we demonstrate the relevance of aggregating expert and objective data in the process of decision-making support in weakly-structured domains.

Oct 3, 2024 · This paper presents a methodology for the transformation of a product concept into a detailed design and manufacturing process chain for hybrid ...

This study focuses on detection and repair-based ZDM strategies. It implements a newly developed, hybrid Decision Support System (DSS) that uses data-driven ...

Jan 29, 2024 · A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions.

This work proposes a hybrid methodology that enables the integration of structured and unstructured data to support the decision-making process in public ...

Nov 1, 2020 · This novel hybrid decision support system improved the accuracy and reliability of prescription checks in a hospital setting.

Abstract—This paper proposes a hybrid decision support model within a multi-agent framework to facilitate integration and collaboration for design decisions ...

Nov 17, 2023 · This study explores the integration of machine learning and MCDM methods, which has been used effectively in diverse application areas.

The aim of this study is to presents propose a Hybrid Expert Decision Support System (EDSS) model, which integrates Neural Network (NN) and Expert System (ES) ...