Next Article in Journal
Matrix Algebraic Properties of the Fisher Information Matrix of Stationary Processes
Next Article in Special Issue
Fractional Order Generalized Information
Previous Article in Journal
Intersection Information Based on Common Randomness
Open AccessArticle

A Fuzzy Parallel Processing Scheme for Enhancing the Effectiveness of a Dynamic Just-in-time Location-aware Service System

Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, 407 Taiwan
Entropy 2014, 16(4), 2001-2022; https://doi.org/10.3390/e16042001
Received: 26 February 2014 / Revised: 31 March 2014 / Accepted: 1 April 2014 / Published: 8 April 2014
(This article belongs to the Special Issue Complex Systems and Nonlinear Dynamics)
Location-aware service systems are a hot topic in diverse research fields including mobile commerce, ambient intelligence, remote sensing and ubiquitous computing. However, the timeliness and efficiency of such systems are two issues that have rarely been emphasized. For this reason, this study tries to establish a location-aware service system in which both the timeliness and efficiency of service provision are addressed. To this end, some innovative treatments have been used in the proposed methodology. First, the uncertainty of detecting a user’s location using the global positioning system is considered by modeling the location and speed of the user with fuzzy numbers. Subsequently, a fuzzy integer-nonlinear programming model is formulated to address the problem of finding the dynamic just-in-time service location and path for the user. To help solve the problem, the maximum entropy weighting function and the basic defuzzification distribution (BADD) method are applied to defuzzify the fuzzy variables. In addition, to enhance the efficiency of solving the problem, a fuzzy parallel processing scheme is also proposed for decomposing the problem into smaller pieces that can be handled by separate processing modules. An illustrative example is used to illustrate the proposed methodology. Finally, the effectiveness of the proposed methodology has been confirmed with an experiment. According to the results, using the proposed methodology the waiting time could be reduced by 60%. View Full-Text
Keywords: location-aware service; fuzzy integer-nonlinear programming; parallel processing; entropy; ambient intelligence location-aware service; fuzzy integer-nonlinear programming; parallel processing; entropy; ambient intelligence
MDPI and ACS Style

Chen, T. A Fuzzy Parallel Processing Scheme for Enhancing the Effectiveness of a Dynamic Just-in-time Location-aware Service System. Entropy 2014, 16, 2001-2022.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop