nowadays, watershed management practices are undertaken based on selective criteria and/or a specific purpose such as a decrease in flood risk, soil erosion and the like. in this respect,fuzzy logic has the ability to manage a wide range of options for decision making. this researchaimed to use the fuzzy logic theory to priorities watershed management practices consideringtime and budget constr...

Site selection for sitting of urban activities/facilities is one of the crucial policy-related decisions taken by urban planners and policy makers. The process of site selection is inherently complicated. A careless site imposes exorbitant costs on city budget and damages the environment inevitably. Nowadays, multi-attributes decision making approaches are suggested to use to improve precision ...

We implement an algorithm that uses a System of Fuzzy Relation Equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a tool GIS and the geographical area under study is divided in homogeneous subzones to which we apply our process to determine the symptoms after that an expert sets the SFRE with the values of the impact coefficie...

We implement an algorithm that uses a system of fuzzy relation equations (SFRE) with the max-min composition for solving a problem of spatial analysis. We integrate this algorithm in a Geographical Information System (GIS) tool, and the geographical area under study is divided in homogeneous subzones (with respect to the parameters involved) to which we apply our process to determine the sympto...

Forecasting electric demand and its geographical distribution is a prerequisite to generate expansion planning scenarios for distribution planning. This paper presents a comprehensive methodology that uses a fuzzy inference model over a GIS support, to capture the behavior of influence factors on load growth patterns and map the potentia1 for development. The load growth is spread over maps wit...

An approach based on contourlet image fusion and reformulated fuzzy clustering for change detection in satellite images is introduced in this paper. In this approach fusion of images is used to produce difference image from log ratio and mean ratio images. An optimal difference image should retain the unchanged areas and show the changed areas. So contourlet image fusion is used to generate the...

Resource-constrained project scheduling (RCPS) problem can be defined as a combinatorial problem of constructing a special plan for performing a number of precedence related tasks that have to be executed with the use of limited uncertain resources. In this paper we study the framework of a heuristic approach to deal with uncertainty while modelling RCPS problem by considering a fuzzy set theor...

This paper is an attempt to introduce a new framework to handle both uncertainty and time in spatial domain. The application of the fuzzy temporal constraint network (FTCN) method is proposed for representation and reasoning of uncertain temporal data. A brief introduction of the fuzzy sets theory is followed by description of the FTCN method with its main algorithms. The paper then discusses t...

Surveillance and Control of air quality in an industrial site close to urban areas in Arganda del Rey (Madrid), by means of a flexible, open and configurable net. * SURVEILLANCE AND MESSAGES DECISION: Through a set of local units distributed at the industrial site that process sensor signals following a user protocol and make decisions on: 1) signals acquisition and 2) alarm messages transmissi...