In this paper, we discuss the convergence of two time window discretization methods for the traveling salesman problem with time window constraints. These methods are general and can be applied to other vehicle routing and scheduling problems with time windows. The first method provides a feasible solution to the problem while the second provides a lower bound for the minimization problem. Anal...

Evaluating the performance of a continuous activity recognition system can be a challenging problem. To-date there is no widely accepted standard for dealing with this, and in general methods and measures are adapted from related fields such as speech and vision. Much of the problem stems from the often imprecise and ambiguous nature of the real-world events that an activity recognition system ...

.............................................................................................................................. 2 Introduction......................................................................................................................... 4 What’s In a Window? ..................................................................................................... 5 Related ...

in this paper, we propose a new residual analysis method using fourier series transform into fuzzy time series model for improving the forecasting performance. this hybrid model takes advantage of the high predictable power of fuzzy time series model and fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...

since the pioneering work of zadeh, fuzzy set theory has been applied to amyriad of areas. song and chissom introduced the concept of fuzzy time series andapplied some methods to the enrolments of the university of alabama. thereafter weapply fuzzy techniques for system identification and apply statistical techniques tomodelling system. an automatic methodology framework that combines fuzzytech...

flow shop sequencing problem is included in np-hard problems and a number of heuristic methods have been developed to solve it. most of these methods are offered for the crisp processing time. however fuzzy algorithm is appropriate for the problems with fuzzy processing time. this paper presents a method in which an algorithm is used to minimize make span of flow shop with fuzzy processing time...

Automatic extraction of objects from aerial or satellite images have made significant progress in recent years. This paper presents an experimental model based on fuzzy logic system for identification of roads in SPOT sensor panchromatic images in Iran. Also the proposed model can be used for images such IKONOS. The method consists of three steps: feature extraction, fuzzy modeling, and mathema...

R. Harrabi and E. Ben Braiek CEREP, ESSTT, 5 Av. Taha Hussein, 1008, Tunis, Tunisia Abstract: In this paper, a novel method of color image segmentation based on the Fuzzy C-means algorithm and statistical features is presented. The role of including first order statistical feature vector in the Fuzzy C-means technique is studied in this paper to obtain the optimally segmented image. Instead of ...

In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize customer needs (CNs). Especially, the limited resources and increased market competition and product complexity require a customer-driven quality management and product development system achieving higher customer satisfacti...