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Individuals are likely to prioritize food over sex after being deprived of both, according to researchers who studied this behavioral conflict in fruit flies. A new study pinpointed the precise neuro...
Development of an innovative method to enhance the detection of tuberculosis (TB) in Malaysia is the latest agenda of the Ministry of Health. Therefore, a geographical information system (GIS) based i...
For autonomous agents the problem of deciding what to do next becomes increasingly complex when acting in unpredictable and dynamic environments pursuing multiple and possibly conflicting goals. One o...
This book advances basic understanding and scientific theory about the brain mechanisms underlying risky decision making, paving the way for translation of science into practice and policy.
The goal of multi-attribute decision-making problems is the ranking of units. In real world, we usually deal with in inexact data. So, there are various ways for ranking of decision making units in fu...
Data Envelopment Analysis (DEA) can be regarded as a useful management tool to the assessment evaluation of decision making units (DMUs) using multiple inputs to produce multiple outputs. In some case...
Ordinary DEA models, such as the CCR and BCC models, are not able to measure the efficiency of multi-component decision making units. In management science, there is a need for methods that are capabl...
Underwater multi-target tracking logic and decision (UMTLD) has difficulty resolving multi-target tracking problems for underwater vehicles. Present methods assume factors in UMTLD are uncorrelated, w...
Ensemble forecasts aim at framing the uncertainties of the potential future development of the hydro-meteorological situation. A probabilistic evaluation can be used to communicate forecast uncertaint...
This paper presents the results of an experimental study about the use of collaborative spatial decision support tools to aid environmental restoration management and decision making. Similar, but non...
The second part of this paper investigates one possibility of realising an inversion of the so-far established order of knowledge/power structures in that it corresponds to an inversion in power relat...
The paper introduces an inversion of the structure of the decision making process in the water sector that has been so far followed in most countries, and in almost all so-called 'third world' societi...
Water resources decision-making is a spatial problem. Topographical features of the region, location of water resources management infrastructure, interaction between the water resources system and ot...
Spatial Analysis Neural Network (SANN) is a specified neural network for conducting the spatial analysis of any type of variable. It provides a nonparametric mean estimator and also estimators of high...
This study develops a social-economic-engineering combined framework for decision making in water resources planning. This framework consists of four parts which are to spatially identify the grades o...

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