Load forecasting allows for the utilities to plan their operations to serve their customers with more reliable and economical electric power. With the developments in computer and information technology new techniques to accurately forecast power system loading are emerging. This research culminates in development of modified algorithms for short-term load forecasting (STLF) of a utility grade ...

This paper proposes a novel approach to similarity-based approximate reasoning in an interval-valued fuzzy environment. In a rule-based system, an ‘if ... then ...’ rule can be translated into an intervalvalued fuzzy relation by suitable implication operations. The similarity grade between a case and the antecedent of a rule is computed and used to modify the relation. A consequent is derived f...

To date, cancer of uterine cervix is still a leading cause of cancer-related deaths in women worldwide. The current methods (i.e., Pap smear and liquid-based cytology (LBC)) to screen for cervical cancer are time-consuming and dependent on the skill of the cytopathologist and thus are rather subjective. Therefore, this paper presents an intelligent computer vision system to assist pathologists ...

Interval type-2 fuzzy c-means (IT2FCM) clustering methods for remote-sensing data classification are based on interval type-2 fuzzy sets and can effectively handle uncertainty of membership grade. However, most of these methods neglect the spatial information when they are used in image clustering. The spatial information and spectral indices are useful in remote-sensing data classification. Th...

To evaluate the power quality scientifically and reasonably is of important practical significance. This paper applies attribute mathematics to the power quality evaluation, and puts forward a combination weighting method which is based on similarity weight method and AHM weighting method. At last, the attribute comprehensive evaluation method put forward in the paper is tested by using the mea...

This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...

The background noise is one of the major factors, which adversely affects the perceived grade of service in audio communication systems. The main problem in most of the environmental noise reduction system is source of noise signal which is to be used as a reference signal. Once the noise source is known then the noise elimination process will become easier. In any environmental conditions, pre...

The combination of different search techniques can improve the results given by each one. In the ongoing R&D project PATExpert1, four different search techniques are combined to perform a patent search. These techniques are: metadata search, keyword-based search, semantic search and image search. In this paper we propose a general architecture based on web services where each tool works in its ...

Study on land ecological safety can help people acquire the states and changes of land ecosystem. It is of great significance to realize the reasonable utilization of land resource. The paper constructed an evaluation index system of land ecological safety based on Pressure-State-Response model. Then the paper combined fuzzy mathematics and matterelement theory to establish an evaluation model ...

The supplier's cooperative design enables the enterprise to use supplier's technical ability fully, reduce the time of product coming into the market, improve quality, and reduce cost. In order to evaluate the supplier cooperative design ability (SCDA) scientifically and accurately, this paper overcomes the shortcoming of traditional linear SCDA evaluation method, proposes an improved support v...