JST Vol. 21 (1) Jan. 2013 - Pertanika Journal - Universiti Putra ...

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Crisp values Crisp values Abubakr Sirageldin, Baharum Baharudin and Low Tang Jung .5 VU UT TW VW Input trust values Input trust values The trapezoid MF is described by four numerical parameters (a, b, c, and d), with d-c shoulder which is expressed by the following formula: ⎧ ⎛ f ( x) − a d − f ( x) ⎞ f ( x, a, b, c, d) = max⎨min⎜ , 1, ⎟, 0 ⎩ ⎝ b − a d − c ⎠ The MF expression generates two crisp values in different MFs. The first value denoted as lower bound MF and the second denoted as upper bound MF. If the upper bound MF value is greater than the threshold value, the decision will then be upper bound MF, or else, the decision is the lower bound MF. The inference rules are playing a role in the final decision manifesto. Performance Evaluation In this section, the performance of the hybrid scheme SVM-Fuzzy is tested. In particular, the dynamic characteristic of the model is examined, while the values are collected perfectly. The data type is a real number, and the values are in a range [0 1]. Any connection request managed by the centre and all well-trusted nodes participate in the interaction without any obvious involvement of the centre. The completely new node implies constructing a new record on the environment, so the new identified node is verified by retrieving its record as recommendations from the other centres. In fact, the recommendation is the past interaction history of the new node in these environments. The centre will then validate the retrieved data for the purpose of establishing a connection with another node. The established connection is confirmed by that destination node. The values are dynamic and updated each time the record is altered. Parameter Setup: In the experimental zone, three parameters are used, namely, the relationship values, the recommended values, and the number of nodes in the network. Performance Metrics: The model used five metrics. The average relationship value H represents the statistical mean of relationship values, and the predicted value f(x) of kernel trick. The crisp value represents the trapezoid MF expression f(a,b,c,d), average recommendations, R, and the threshold value, T. The Results of the Experiments Fig.2: Trapezoid Fuzzy set membership functions The effective of SVM: the model is tested offline, and due to this circumstance, the data are arbitrary initiated in a range between 0 and 1. The number of nodes and the values of α are varied in order to study the performance of SVM. 188 Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013) ⎫ ⎬ ⎭ (6)
Trust Value MF-ID 1 0.8 0.6 0.4 0.2 0 5 4 3 2 1 0 Issues on Trust Management in Wireless Environment Node-no Pertanika J. Sci. & Technol. 21 (1): 283 - 298 (2013) Average SVM Fig.3: The performance of SVM against basic Statistics (average) Node-no SVM-Fuzzy Fuzzy Fig.4: Comparison of SVM-Fuzzy against Fuzzy, the vertical axis 1, 2, 3, 4 represent the four MFs VU, UT, TW, VW, respectively. 189
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Journal of Science & Technology Jou
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International Advisory Board Adarsh
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ut bovine milk allergy by far is th
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Selected Articles from UPM-Malaysia
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ISSN: 0128-7680 © 2013 Universiti
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Aspect of Fatigue Analysis of Compo
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Application of Anthropometric Dimen
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Different Media Formulation on Bioc
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Heng, S. C., Ibrahim, Z. B., Suleim
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CONCLUSION Heng, S. C., Ibrahim, Z.
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Y. Yusuf, J. M. Juoi, Z. M. Rosli,
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Surface Roughness Y. Yusuf, J. M. J
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DISCUSSION Y. Yusuf, J. M. Juoi, Z.
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Modelling of Motion Resistance Rati
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The Empirical Method Modelling of M
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Assessment of Heavy Metal Pollution
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TABLE 1: Size of mussels in average
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TABLE 5: Heavy metal concentrations
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Physico-Chemical and Electrical Pro
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TABLE 1: (continued) Physico-Chemic
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Norhashila Hashim et al. effectiven
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Statistical Analysis Norhashila Has
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Norhashila Hashim et al. Post-hoc a
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Norhashila Hashim et al. Cubero, S.
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S. Ismail and K. A. Mohd Atan 4 4 p
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S. Ismail and K. A. Mohd Atan The f
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Lemma 1.1 The equation S. Ismail an
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CONCLUSION S. Ismail and K. A. Mohd
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INTRODUCTION Tajau, R. et al. A hig
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Tajau, R. et al. the acrylate’s c
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Tajau, R. et al. double bond) and C
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Tajau, R. et al. Ulanski, P., & Ros
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Aji, I. S., Zinudin, E. S., Khairul
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Az Azrinudin Alidin and Fabio Crest
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Yogan Jaya Kumar, Naomie Salim, Ahm
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REFERENCES Yogan Jaya Kumar, Naomie
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Hasiah Mohamed@Omar, Azizah Jaafar
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The Role of Similarity Measurement
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TABLE 5: Winners MRS The Role of Si
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REFEREES FOR THE PERTANIKA JOURNAL
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Guidelines for Authors Publication
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table should be prepared on a separ
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The Journal’s review process What
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Usability of Educational Computer G
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