Search results for "decision support system"
showing 10 items of 306 documents
A multi-objective approach to solid waste management
2010
The issue addressed in this paper consists in the localization and dimensioning of transfer stations, which constitute a necessary intermediate level in the logistic chain of the solid waste stream, from municipalities to the incinerator. Contextually, the determination of the number and type of vehicles involved is carried out in an integrated optimization approach. The model considers both initial investment and operative costs related to transportation and transfer stations. Two conflicting objectives are evaluated, the minimization of total cost and the minimization of environmental impact, measured by pollution. The design of the integrated waste management system is hence approached i…
A Decision Support Tool for Water and Energy Savingin the Integrated Water System
2015
Abstract In the last decades, a growing attention on energy saving associated with water resources usage and leakages reduction has been recorded at both national and international level. Scientific research has focused on implementation of several methodologies aimed at the understanding of energy transformation processes occurring in the integrated water system. The main concern is then identifying energy impacts associated to each macro-area of integrated water system, such as collection, treatment and distribution, and analysing the potential interactions between them. Unfortunately, only overall energy consumptions are usually available at national level. The main objective of the pape…
Two ways to handle dependent uncertainties in multi-criteria decision problems☆
2009
Abstract We consider multi-criteria group decision-making problems, where the decision makers (DMs) want to identify their most preferred alternative(s) based on uncertain or inaccurate criteria measurements. In many real-life problems the uncertainties may be dependent. In this paper, we focus on multicriteria decision-making (MCDM) problems where the criteria and their uncertainties are computed using a stochastic simulation model. The model is based on decision variables and stochastic parameters with given distributions. The simulation model determines for the criteria a joint probability distribution, which quantifies the uncertainties and their dependencies. We present and compare two…
Simplification d’un modèle complexe pour le développement d’un modèle d’aide à la décision pour la gestion agroécologique de la flore adventice
2019
National audience; Afin de réduire l’utilisation d’herbicides, nous avons besoin de nouveaux outils pour aider à concevoir des stratégies de gestion des adventices économes en herbicides. Dans ce but, nous avons développé un Outil d'Aide à la Décision (OAD) pour la conception de systèmes de culture réconciliant protection des cultures et respect des écosystèmes. La démarche fait intervenir en parallèle le développement de la structure de l’outil en interaction avec les futurs utilisateurs (conseillers et agriculteurs) et une sim-plification du contenu biophysique du modèle FLORSYS concernant les impacts des systèmes de culture et des adventices. FLORSYS est une « parcelle virtuelle », où so…
Développement d’un outil d’aide à la décision pour la gestion intégrée des adventices
2016
Integrated weed management consists in using several weed management techniques in a long-term approach. The vast number of techniques precludes cropping systems from being easily conceived and climatic interactions render the systems difficult to pursue. Farmers and farm advisors need decision support systems (DSS) to develop weed management strategies adapted to multicriteria/multiobjectives of weed management, to the economic, social and environmental stakes and to the constraints of farmers. Such a DSS is developed from the mechanistic weed dynamic model FLORSYS. This model is a “virtual field” allowing the evaluation of the performance of agricultural systems over a large range of agri…
A planning support system for assessing strategies of local urban planning agencies
2008
Here we present our research project, which aims to develop a new kind of planning support system (PSS). The PSS aims to analyse the urban planning process. An important part of the construction of the PSS is the development of a multi-agent simulation model of the urban planning process; the model will be based on the comparison of the planning systems of France, England and the Netherlands.
Conception of a territorial observation and prospective tool for energy. The case of fuelwood.
2008
International audience; Decentralized energy planning has been emerged in France since the last three decades especially due to the development of renewable energies. One corollary is the increase of local actors' role in energy and land planning. In order to help them carrying out efficient policies, decision support systems (DSS) have been developed. In this paper, the authors deal with a DSS applied to fuelwood sector.
Forest accessibility, Madonie mountains (northern Sicily, Italy): implementing a GIS decision support system
2021
Valorisation and sustainable exploitation of woody biomass from cultivation interventions might be an important opportunity to track alternative development trails for rural communities in natural protected areas. The governance of Mediterranean protected areas is characterized by overlapping, sometimes conflicting institutions, stakeholders and regulations, causing negative impacts on decision-making processes. We present an open source GIS-based decision support system tool for mapping forest accessibility and optimizing woody biomass extraction. Two models were implemented to support forest managers during the decision-making process in designing and managing wood-energy supply chains. T…
Big Data Metadata Management in Smart Grids
2014
Smart home, smart grids, smart museum, smart cities, etc. are making the vision for living in smart environments come true. These smart environments are built based upon the Internet of Things paradigm where many devices and applications are involved. In these environments, data are collected from various sources in diverse formats. The data are then processed by different intelligent systems with the purpose of providing efficient system planning, power delivery, and customer operations. Even though there are known technologies for most of these smart environments, putting them together to make intelligent and context-aware systems is not an easy task. The reason is that there are semantic…
Deep Learning for Resource-Limited Devices
2020
In recent years, deep neural networks have revolutionized the development of intelligent systems and applications in many areas. Despite their numerous advantages and potentials, these intelligent models still suffer from several issues. Among them, the fact that they became very complex with millions of parameters. That is, requiring more resources and time, and being unsuitable for small restricted devices. To contribute in this direction, this paper presents (1) some state-of-the-art lightweight architectures that were specifically designed for small-sized devices, and (2) some recent solutions that have been proposed to optimize/compress classical deep neural networks to allow their dep…