in this paper, a novel hybrid method based on learning algorithmof fuzzy neural network and newton-cotesmethods with positive coefficient for the solution of linear fredholm integro-differential equation of the second kindwith fuzzy initial value is presented. here neural network isconsidered as a part of large field called neural computing orsoft computing. we propose alearning algorithm from ...

3. The HIPC-Initiative, Fiscal Ownership and the Quality of Aid 3.1. The Quantitative and Qualitative Impact of the HIPC-Initiative 3.2. Impact on Resource Flows: The Debt Reduction Dividend 3.2.1. Measuring the Amount of Virtual Resources 3.2.2. Additionality 3.2.3. Debt Overhang 3.2.4. Debt Sustainability 3.3. Impact on Poverty Reduction and Aid Effectiveness 3.3.1. Channeling Debt Relief int...

Data centers have turned into a big concern for enterprises. Data centers have exhibited steadyenergy demand growth, and electric utilities have received sizeable requests for electrical power for new facilities. Electricity usage costs have become an increasing fraction of the total cost of ownership for data centers. There are many challenges and opportunities for researchers to explore the i...

Charge regulators of the batteries are one of the parts most critical in stand-alone photovoltaic systems. The economic cost of the complete installation, for a long period of time, depends on their correct operation. This document presents a Fuzzy Logic Controller for the charge regulation in stand-alone photovoltaic systems. The optimisation, in energy management, obtained with this controlle...

This paper presents an application of interactive fuzzy goal programming to the nonlinear multi-objective reliability optimization problem considering system reliability and cost of the system as objective functions. As the decision maker always have an intention to produce highly reliable system with minimum cost, therefore, we introduce the interactive method to design a high productivity sys...

In order to model capacitated location-allocation problem with fuzzy demands, three types of fuzzy programming models — fuzzy expected cost minimization model, fuzzy α-cost minimization model, and credibility maximization model — are proposed according to different decision criteria. For solving these models, some hybrid intelligent algorithms are also designed. Finally, several numerical exper...

Bender et al. (SPAA 2013) have proposed a theoretical framework for testing in contexts where safety mistakes must be avoided. Testing in such a context is made by machines that need to be often calibrated. Given that calibration costs, it is important to study policies minimizing the calibration cost while performing all the necessary tests. We focus on the single-machine setting and we extend...