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Towards an analytics and an ethics of expertise: Learning from decision aiding experiences in public risk assessment and risk management

Merad, Myriam; Dechy, Nicolas; Llory, Michel; Marcel, … - HAL - 2012

Public expertise in safety, security and environment is a process that is increasingly submitted to control and transparency. It therefore requires an oversight, a monitoring and an aiding approach on its conduct and its governance. Difficulties learned from experiences in framing risk problems...

Persistent link: https://www.econbiz.de/10010899657

Policy Analytics: An Agenda for Research and Practice

Tsoukiàs, Alexis; Montibeller, Gilberto; Lucertini, Giulia - HAL - 2013

In recent years the field of decision analysis has been heavily influenced by the "analytics'' perspective, which … support systems. This rapidly growing and very successful field of Analytics has been strongly business-oriented since its … much more socially complex process than has hitherto been considered by most analytics methods and applications. In this …

Persistent link: https://www.econbiz.de/10010821195

The two-echelon capacitated vehicle routing problem

Gonzalez-Feliu, Jesus; Perboli, Guido; Tadei, Roberto; … - HAL - 2008

Multi-echelon distribution systems are quite common in supply-chain and logistic systems. They are used by public administrations in their transportation and traffic planning strategies as well as by companies to model their distribution systems. Unfortunately, the literature on com- binatorial...

Persistent link: https://www.econbiz.de/10010899470

The Relationship between Vehicle Routing & Scheduling and Green Logistics - A Literature Survey

Sbihi, Abdelkader; Eglese, Richard W. - HAL - 2007

The basic Vehicle Routing and Scheduling Problem (VRSP) is described followed by an outline of solution approaches. Different variations of the basic VRSP are examined that involve the consideration of additional constraints or other changes in the structure of the appropriate model. An...

Persistent link: https://www.econbiz.de/10010618155

A cross entropy multiagent learning algorithm for solving vehicle routing problems with time windows

Ma, Tai-Yu - HAL - 2011

The vehicle routing problem with time windows (VRPTW) has been the subject of intensive study because of its importance in real applications. In this paper, we propose a cross entropy multiagent learning algorithm, which considers an optimum solution as a rare event to be learned. The routing...

Persistent link: https://www.econbiz.de/10009208414

A comparative study on forecasting polyester chips prices for 15 days, using different hybrid intelligent systems

Fazli, Mojtaba Sedigh; Lebraty, Jean-Fabrice - HAL - 2013

Forecasting in a risky situation is a very important function for managers to assist in decision making. One of the fluctuated markets in stock exchange market is chemical market. In this research the target item for prediction is PET (Poly Ethylene Terephthalate) which is the raw material for...

Persistent link: https://www.econbiz.de/10010899158

A solution for forecasting pet chips prices for both short-term and long-term price forcasting, using genetic programming

Fazli, Mojtaba Sedigh; Lebraty, Jean-Fabrice - HAL - 2013

Nowadays, forecasting what will happen in economic environments plays a crucial role. We showed that in PET market how a neuro-fuzzy hybrid model can assist the managers in decision-making. In this research, the target is to forecast the same item through another intelligent tool which obeys the...

Persistent link: https://www.econbiz.de/10010692168

A knowledge engineering framework for intelligent retrieval of legal case studies

Saadoun, Adel; Ermine, Jean-Louis; Belair, Claude; … - HAL - 1997

Juris-Data is one of the largest case-study base in France. The case studies are indexed by legal classification elaborated by the Juris-Data Group. Knowledge engineering was used to design an intelligent interface for information retrieval based on this classification. The aim of the system is...

Persistent link: https://www.econbiz.de/10011025587

A new approach for estimation of long-run relationships in economic analysis using Engle-Granger and artificial intelligence methods

Amiri, Arshia; Gerdtham, Ulf-G; Ventelou, Bruno - HAL - 2012

In time series analysis, most estimation of relationships and tests are typically based on linear estimators and most classical co-integration methods and causality tests are based on OLS regresses. However the linear functional specification is not necessarily the most appropriate form. This...

Persistent link: https://www.econbiz.de/10009151635

Forecasting exchange rates better than the random walk thanks to machine learning techniques

Amat, Christophe; Michalski, Tomasz; Stoltz, Gilles - HAL - 2014

Using methods from machine learning - adaptive sequential ridge regression with discount factors - that prevent overfitting in-sample for better and more stable forecasting performance out-of-sample we show that fundamentals from the PPP, UIRP and monetary models consistently improve the...

Persistent link: https://www.econbiz.de/10010899931