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Through this research, we shows a study on the identification of poverty in a great city with over a million of habitants -and featured with a radical violence which costs 32000 deaths-and analyze vulnerability with homeless and poor people in the municipality of Ciudad Juarez - a largest city in México, the seventh most largest-, trying the questionnaire used for the study, with fuzzy logic techniques...
This paper describes the symmetric travelling salesman problem (TSP) with 22 and 1060 cities with Euclidean distances and its solution with different ACO variants using parallel processing. We implemented the algorithms Elitist Ant System (EAS) and Rank Based Ant System (ASrank) with parallel processing to find optimal results for TSP.
In this paper, a fuzzy rule-based system with final evidential aggregation is proposed to perform the relative quality assessment of drinking water in the water distribution network (WDN). Partially reliable sensor measurements, incomplete assessments as well as subjective information on water quality parameters (WQP) introduce uncertainty to the water quality assessment process. Historical data recorded...
In the world stage, the environmental condition has been a big public policies issue. A clear understanding of the parameters that determine the state of the environment is essential for estimation of the quality of life of the population, not least since ecosystems are highly complex. Consequently, definition of public policies demands the use of evaluation tools that can combine and quantify information...
We discuss uncertainty included in demands in facility location problem in this paper. The uncertain demand is named as fuzzy demand in the paper. In the facility location model, the parameters of fuzzy demand are determined by calculating the estimated expected value of the fuzzy demand, which is obtained by using estimated parameters of underlying probability distribution function of fuzzy data...
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