Membership Functions Generation Based on Density Function

Derbel, Imen; Hachani, Narjes; Ounelli, Habib

doi:10.1109/cis.2008.211

Cited by 20 publications

(6 citation statements)

References 10 publications

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“…However, acquiring expert knowledge is a challenging task. In this paper, the parameters are defined based on the statistics of the real dataset, in which for each membership function, a clustering algorithm (k-means) is defined, and the upper bound and lower bound values of the clusters are considered the values of the membership functions [47]. It is also worth mentioning that parameter tuning is required to find the best values, especially for decision-maker systems [48,49].…”

Section: Methodsmentioning

confidence: 99%

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

2023

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According to the World Health Organization (WHO), over 1.35 million people died in road traffic-related accidents worldwide in 2020 of which 41,000 are related to the cyclists. Bike safety is one of the most serious issues facing urban riders. According to Statistics Canada, this number represents 1654 cyclist deaths in Canada, an average of 74 deaths each year from 2006 to 2017. Cyclists are a critical component in traffic collisions, where they face a greater risk of serious injury or death. As a result, they are classified as vulnerable road users. To avoid this, the need for intelligent transportation systems (ITSs) that increase susceptible cyclists’ awareness of their surroundings is becoming apparent. As a result, we proposed a situational awareness system as part of ITS to enhance bike safety through the employment of three layers of applications: (1) the users tier (mobile application), (2) the virtual private server (VPS) and processing system, and (3) the database management system (DMS). These decision support systems (DSSs) improve vulnerable road users’ situational awareness by identifying high-risk regions for cyclists or motorcyclists using static and dynamic data and then notifying vulnerable road users. The suggested situational awareness system collects and integrates incoming data, prioritizes criteria, and notifies users based on a static hot-spot map produced from accident locations and dynamic data, such as traffic flow, weather conditions, and the user’s speed. The developed work made use of both single threading (for requests from less than 1000 users) and multi-threading (for requests from more than 1000 users), resulting in a highly scalable system based on an open source platform for higher numbers of requests.

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Section: Methodsmentioning

confidence: 99%

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

2023

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“…Different approaches are proposed by previous researchers for the automatic definition of fuzzy membership functions. The approaches could be based on distance, or on data density which applies self-organizing map for density estimation (Derbel et al (2008)). In this research a fuzzy density clustering method, which is presented by Liu et al (2013) based on the density function of square error is applied to find the clustering center and number of centers is applied for initialization of membership functions.…”

Section: Initialization and Reconfiguration Of Fuzzy Design Parametermentioning

confidence: 99%

Case indexing in Case-Based Reasoning by applying Situation Operator Model as knowledge representation model

Sarkheyli

Söffker

2015

IFAC-PapersOnLine

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Case-Based Reasoning (CBR) is an effective technique for solving cognitive problems. It maintains old experiences which are encountered in various problems and presented as cases in a case-base. Consequently, indexing the cases in memory is an important issue in enhancing retrieval and learning performance in a cognitive system. This paper focuses on this issue and proposes an approach by integrating fuzziness for case indexing in CBR. Generalization and fuzzification of similar cases are the main properties of this approach in improving the performance of retrieval as well as reducing the size of case-base. Also, the connection between signal-based measurement level and problem-oriented behavioral level of the system which is a missing level in actual approaches is realized from a principle point of view in this study. In addition, Situation Operator Model (SOM) as a knowledge representation model is applied to CBR to model the events, related actions, and their effects in term of cases. As an application experiment, COLIBRI is utilized as a CBR reference platform. A data set generated using a driving simulator is utilized to learn two different classes of cases (start passing, end passing) generated from maneuvers of drivers. Finally, the performance of retrieval process and similarity error on fuzzy and conventional indexing approaches are measured to reveal the effectiveness of the presented approach.

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“…Figure 3 shows an example of the automated MF formulation for M = 4 regions. To date, automatic approaches for MF formulation, based on machine learning and statistical models, have been proposed to form trapezoidal and Gaussian MFs adaptively [26], [27], [28], [29], [30]. However, these methods were mostly proposed 4 for a specific scenario, system, or dataset [31], [32].…”

Section: A Automatic Formulation Of Membership Functionsmentioning

confidence: 99%

Probabilistic Fuzzy Image Fusion Approach for Radar Through Wall Sensing

Seng

Bouzerdoum

Amin

et al. 2013

IEEE Trans. on Image Process.

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This paper addresses the problem of combining multiple radar images of the same scene to produce a more informative composite image. The proposed approach for probabilistic fuzzy logic-based image fusion automatically forms fuzzy membership functions using the Gaussian-Rayleigh mixture distribution. It fuses the input pixel values directly without requiring fuzzification and defuzzification, thereby removing the subjective nature of the existing fuzzy logic methods. In this paper, the proposed approach is applied to through-the-wall radar imaging in urban sensing and evaluated on real multi-view and polarimetric data. Experimental results show that the proposed approach yields improved image contrast and enhances target detection.

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Membership Functions Generation Based on Density Function

Cited by 20 publications

References 10 publications

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

Improving Cyclists’ Safety Using Intelligent Situational Awareness System

Case indexing in Case-Based Reasoning by applying Situation Operator Model as knowledge representation model

Probabilistic Fuzzy Image Fusion Approach for Radar Through Wall Sensing

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