In this paper, a new interval-valued fuzzy multi-criteria group decision-making model is proposed to evaluate each of the energy plans with sustainable development criteria for proper energy plan selection. The purpose of this study is divided into two parts: first, it is aimed at determining the weights of evaluation criteria for sustainable energy planning and second at rating sustainable ene...

Many mixed datasets with both numerical and categorical attributes have been collected in various fields, including medicine, biology, etc. Designing appropriate similarity measurements plays an important role clustering these datasets. traditional treat equally when measuring the similarity. However, different may contribute differently as amount of information they contained could vary a lot....

In recent papers, entropy computed from sub-bands of the spectrum was used as a feature for automatic speech recognition. In the present paper, we further study the sub-band spectral entropy features which can give the flatness/peakiness of the sub-band spectrum and in turn the position of the formants in the spectrum. The sub-band spectral entropy features are used in hybrid hidden Markov mode...

suitability analysis is a prerequisite for sustainable agricultural production and it involves evaluation of the environmental parameters. the development and creation of appropriate points for this land use without considering environmental capability will result in the appearance of several ecological, economic, and social problems. the multi-criteria decision making (mcdm) models were used f...

the goal in information retrieval is to enable users to automatically and accurately retrieve data relevant to their queries. One possible approach to this problem is to use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme. This paper compared between a selected set from the availab...

We present a novel method of integrating the likelihoods of multiple feature streams, representing different acoustic aspects, for robust speech recognition. The integration algorithm dynamically calculates a frame-wise stream weight so that a higher weight is given to a stream that is robust to a variety of noisy environments or speaking styles. Such a robust stream is expected to show discrim...

The concept of sustainability has become more important, especially as a result the depletion energy resources and increasing environmental concerns. UI GreenMetric ranks universities based on sustainability, environmental, concerns, addressing issues pollution, food water scarcity, supply. By prioritizing their campuses campuses, are working to ensure sustainable future for humanity. This stud...

As described in the text of the main paper, this baseline is a sanity check to assure the difficulty of generating prototypical shapes. We manually partition the images into the “ideal” clusters, so that each cluster has 100% purity, and then simply average the aligned edge images, using the confidence weights given by the Pb detector [1]. The sanity check baseline helps to indicate the contrib...

This research aims to test a scalable and transferable Geographic Information System (GIS)-based evaluation methodology for the identification, quantification and assessment of multi-functional landscape features. The evaluation of multi-functional features is one of the key tasks required when it comes to identifying the values that people attribute to landscapes, according to the principles o...

Areal interpolation is a geospatial analysis method that allows researchers to estimate the incidence of a phenomenon in one set of areal units given data based on different areal units. One practice implemented in conjunction with areal interpolation is known as filtered area weighting, in which ancillary data is introduced to exclude specific areas from the areal units based on certain criter...