in last decades, the skillful planning of land resources has become a major issue for rural development. the development of cultivated areas becomes gradually impossible due to ever increasing population growth and urban development. fuzzy logic is preferred to boolean logic for land evaluation, because fuzzy techniques lead to estimate for land use suitability on a continuous scale and can the...

the evaluation and selection of recommender systems is a difficult decision making process. this difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. as such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find...

the use of value engineering (ve) methodology in construction industry has grown significantly, mainly in view of its extensive benefits. the main task in evaluation phase of ve workshop is to assess alternative ideas, proposed for each function. this phase of ve, hence, could be deemed as a multi criteria decision making (mcdm) problem. this paper presents a fuzzy decision support system (dss)...

Discriminative training criteria have been shown to consistently outperform maximum likelihood trained speech recognition systems. In this paper we employ the Minimum Classification Error (MCE) criterion to optimize the parameters of the acoustic model of a large scale speech recognition system. The statistics for both the correct and the competing model are solely collected on word lattices wi...

When evaluating power system expansion scenarios there is a need to take into consideration range of measurable and non-measurable impacts. Measurable impacts are fixed variable production costs and, recently, external costs. Nonmeasurable include public attitude certain energy technology investor's risk in achieving the expected profit. Public has large, sometimes essential impact on decision-...

Minimum Classification Error (MCE) training is difficult to apply to language modeling due to inherent scarcity of training data (N-best lists). However, a whole-sentence exponential language model is particularly suitable for MCE training, because it can use a relatively small number of powerful features to capture global sentential phenomena. We review the model, discuss feature induction, fi...

OBJECTIVE The multi-country evaluation of Integrated Management of Childhood Illness (IMCI) effectiveness, cost and impact (MCE) is a global evaluation to determine the impact of IMCI on health outcomes and its cost-effectiveness. MCE studies are under way in Bangladesh, Brazil, Peru, Uganda and the United Republic of Tanzania. The objective of this analysis from the Bangladesh MCE study was to...

In our previous work, we have proposed a speaker modeling technique using spectral and pitch features for text-independent speaker identification based on Multi-Space Probability Distribution Gaussian Mixture Models (MSD-GMMs). We have presented a maximum likelihood (ML) estimation procedure for the MSD-GMM parameters and demonstrated its high recognition performance. In this paper, we describe...

One of the most important applications of GIS is the display and analysis of data to support the process of environmental decision-making. A decision can be defined as a choice between alternatives, where the alternatives may be different actions, locations, objects, and the like. For example, one might need to choose which is the best location for a hazardous waste facility, or perhaps identif...