Search results for "Support system"

Possibilistic Programming and Gas for Aggregate Production Planning under Vague Information

1999

In production planning activities, aggregate planning is surely the phase where the lack of information is more relevant. The reasons for that can be summarised in: a) the planning product is an aggregate one, very often not corresponding to actual products; b) the delay from the actual production is relevant so that information regarding actual production resources availability and performances are vague; c) the planning activity is often based on forecasts. On the other hand, all the subsequent production planning activities are based on the result of aggregate planning. In the paper a research going on at the Workgroup for Soft Computing Application in Manufacturing is presented. A Decis…

2021

In recent decades, an essential global aim of the reforms of special education has been the promotion of inclusive education. This article discusses the implementation of reforms with a focus on tiered support systems in the context of Finnish comprehensive school education. Based on earlier literature, legislation, and administrative documents, we provide a background for Finnish education policy and special education reforms. The focus of this article is on the description of parallel reforms targeting the re-structuring of the systems around support for students and funding of education in the 2010s. We discuss the processes leading to these reforms and the reforms themselves. In additio…

Automated quality control protocol for MR spectra of brain tumors.

2008

Item does not contain fulltext eTUMOUR (http://www.etumour.net/) is acquiring a large database of brain tumor (1)H MR spectra to develop automated pattern recognition methods and decision support system (DSS) for tumor diagnosis. Development of accurate pattern-recognition algorithms requires spectra undistorted by artifacts, low signal-to-noise, or broad lines. eTUMOUR currently uses panels of expert spectroscopists to subjectively grade spectra as being acceptable or unacceptable. Automated quality control (QC) would be more satisfactory for several reasons: 1) to provide a reproducible objective classification of spectrum quality; 2) for use within the future DSS to prevent misdiagnosis …

Enterprise Knowledge Modeling, UML vs Ontology: Formal Evaluation

2019

International audience; Everyday activities in enterprises rely heavily on the experts' know-how. Due to experts departure, the loss of expertise and knowledge is a reoccurring problem in these enterprises. Recently, in order to capture experts knowledge into intelligent systems, formal knowledge representation methods, such as ontologies, are being studied and have caught up with non-formal or semi-formal representation, such as UML. The similarities and differences between UML class diagram and computational ontology have for long raised questions about the possibility of synthesizing them in a common representation (usually an ontology). Indeed, the problem of migrating knowledge encoded…

Groupware Support for Requirements Management in New Product Development

2005

Large high-technology companies operate in fiercely competitive international markets. To succeed, they need to shorten the cycle time of new product development (NPD) while improving product quality and maintaining or reducing the total resources required. Their abilities to meet these business goals depend on how extensively and effectively they collect, analyze, and utilize requirements in their product development. Creating and sharing such knowledge is complicated partly because the NPD activities of large companies are geographically distributed. Groupware technologies allow knowledge to be created and shared more effectively. Thus, they hold considerable potential as means of meeting…

Innovative Research Design – A Journey into the Information Typhoon

2014

Abstract Disasters are often characterized by their sudden onset and complex nature. The need for innovative and trans-disciplinary research that starts from the practice of disaster response is uncontested. Yet, the realities of field research require a rework of research design and processes. In the aftermath of Typhoon Haiyan that hit the Philippines in November 2013, a small team of researchers with different backgrounds came together in an innovative setting to investigate information management for decision support and sensemaking in the field. We combined the research in the field with remote support for logistics, communication and spot analyses. This letter describes our findings i…

Uncertain outcome presentations bias decisions: experimental evidence from Finland and Italy

2016

Even in their everyday lives people are expected to make difficult decisions objectively and rationally, no matter how complex or uncertain the situation. In this research, we study how the format of presentation and the amount of presented information concerning risky events influence the decision-making process, and the propensity to take risk in decision makers. The results of an exploratory survey conducted in Finland and in Italy suggest that decision-making behavior changes according to the way the information is presented. We provide experimental evidence that different representations of expected outcomes create distinct cognitive biases and as a result affect the decisions made. Th…

An integrated framework for risk profiling of breast cancer patients following surgery.

2006

Objective: An integrated decision support framework is proposed for clinical oncologists making prognostic assessments of patients with operable breast cancer. The framework may be delivered over a web interface. It comprises a triangulation of prognostic modelling, visualisation of historical patient data and an explanatory facility to interpret risk group assignments using empirically derived Boolean rules expressed directly in clinical terms. Methods and materials: The prognostic inferences in the interface are validated in a multicentre longitudinal cohort study by modelling retrospective data from 917 patients recruited at Christie Hospital, Wilmslow between 1983 and 1989 and predictin…

On Obtaining Classification Confidence, Ranked Predictions and AUC with Tsetlin Machines

2020

Tsetlin machines (TMs) are a promising approach to machine learning that uses Tsetlin Automata to produce patterns in propositional logic, leading to binary (hard) classifications. In many applications, however, one needs to know the confidence of classifications, e.g. to facilitate risk management. In this paper, we propose a novel scheme for measuring TM confidence based on the logistic function, calculated from the propositional logic patterns that match the input. We then use this scheme to trade off precision against recall, producing area under receiver operating characteristic curves (AUC) for TMs. Empirically, using four real-world datasets, we show that AUC is a more sensitive meas…

Assessment of wastewater treatment plant design for small communities: Environmental and economic aspects

2012

The preliminary design and economic assessment of small wastewater treatment plants (less than 2000 population equivalent) are issues of particular interest since wastewaters from most of these agglomerations are not covered yet. This work aims to assess nine different technologies set-up for the secondary treatment in such type of facilities embracing both economic and environmental parameters. The main novelty of this work is the combination of an innovative environmental decision support system (EDSS) with a pioneer approach based on the inclusion of the environmental benefits derived from wastewater treatment. The integration of methodologies based on cost-benefit analysis tools with th…