Fuzzy subjective evaluation of Asia Pacific airport services

This paper presents a fuzzy decision-making model to determine the ranking of fourteen Asia Pacific airports based on the services provided to passengers. Airport services were represented by six attributes namely comfort, processing time, convenience, courtesy of staff, information visibility and security. Data for the attributes given by travel experts are in the triangular fuzzy number form. Based on fuzzy set and approximate reasoning, the model allows decision makers to make the best choice in accordance with human thinking and reasoning processes.The use of fuzzy rules which are extracted directly from the input data in making evaluation, contributes to a better decision and is less dependent on experts.Experimental results show that the proposed model is comparable to previous studies.The model is suitable for various fuzzy environments

Fuzzy multi criteria evaluation for performance of bus companies

A multi criteria decision making in ranking the bus companies using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the performance of several bus companies. The proposed method introduces data normalization using similarity function which dampens extreme values that exist in the data. The use of the model is suitable in evaluating situation that involves subjectivity, vagueness and imprecise information. Experimental results are comparable to several previous methods

Using co-operative vehicle-infrastructure systems to reduce traffic emissions and improve air quality at signalized urban intersections

Road transport has expanded the scope of human mobility, increasing the distances people travel. However, the recent increase in the number of vehicles has resulted in many adverse consequences in terms of safety, efficiency and the environment. Traffic emissions are known to be the main source of air pollution in urban areas. Today while demand for environmental aspects has increased and is expected to increase even further, a new development has occurred in the applications of co-operative vehicle-infrastructure systems. Using co-operative systems, vehicles and road infrastructures can communicate with each other through Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I or I2V) communication. Therefore, co-operative systems can be used to improve road safety, efficiency and air quality. \ud \ud This thesis gives more insight into the impacts of co-operative vehicle-infrastructure systems on the environment. To assess these impacts first, a modeling framework of traffic, emission and dispersion model was developed. Second, an indicator for local air quality was developed to support decision making on short-term local traffic measures. Third, an algorithm was developed using I2V communication to influence the traffic flow in real-time and help reducing traffic emissions. Finally, the developed algorithm was tested using the modeling framework. The results show that traffic emissions can be reduced for both actuated and adaptive controller using I2V communication

Human Resource Management Practices, Career Planning, Individual Personality Traits Towards Career Success Among Government Officer: A Study at Public Service Department

The aim of this research is to examines to what extent career success factors can influence human resource management, career planning and individual personality characteristics to government officer in the Public Service Department of Malaysia. This study was conducted at the Public Services Department, Putrajaya, involving a total of 250 respondents consisting of government officer which is from professional and management group. The objective of this study were to (i) the differences significance between gender, age and length of service in the PSD and the analysis using the t test and ANOVA test. While the objective (ii) Analysis Pearson correlation was used to determine the significant relationship between human resource management practices, career planning and personality characteristics of individuals with the career success. While the objective (iii), to see the dominant factor contributing to career success. Results from the analysis and findings shows that the three variables (human resource management practices, career planning and individual personality traits have a significant relationship to successful career and human resource management practices is the dominant factor that immensely contributed to the success career for government officials in the PSD. It is recommended that human resources in the PSD always make sure to using HRM practices as a method that can encourage and also improve performance as well as providing platform for officers to achieve career success in their life

Detection performance and mitigation techniques in CR networks

Pervasive wireless communications rely enormously on spectrum utilization; the increase in demand for new wireless services and their application has led to spectrum scarcity. Spectrum limitations can be resolved by cognitive radio (CR) which is a technology that allows secondary users (SUs) to use the spectrum when it is not occupied by primary users (PUs). In this thesis, the security issues that decrease CR performance are discussed; there are two major threats i.e. primary user emulation attack (PUEA) and spectrum sensing data falsification attack (SSDF). Firstly, the CR network (CRN) is simulated whereby PUs and SUs are presented in the system with the presence of multiple malicious users that are randomly located within a circle of radius (R). The simulation results, based on an analytical model, show that the false alarm probability is significantly affected by the network radius Rand malicious users' number, and it is proved that there is a range of R over which the PUEAs are most successful. Secondly, a transmitter verification scheme (direct scheme) and indirect trust scheme that considers the users' history are presented; the results proved that if the signal to noise ratio (SNR) is raised, correspondingly the t:rnstworthiness of the PU is considerably increased. Based on these two schemes, the trnstworthiness of the PU is much higher than that of the malicious user and because the indirect scheme considers the historical behaviour of the user, it improves the user's trustworthiness.Finally, cooperative spectrum sensing (CSS) approaches are proposed, namely, a trust based approach, a punishment based approach and a dedicated punishment based approach. It is proved that these proposed CSS approaches outperform the traditional majority scheme despite a high number of malicious users. In addition, the dedicated punishment approaches which punish only the malicious users outperform the other approaches

A Framework of Subjective Performance Evaluation Using Fuzzy Technique

This research proposes the framework of subjective performance evaluation using fuzzy technique for ranking the attributes of different types of datasets under a multi-criteria environment. Some previous studies on fuzzy techniques have been attempted in assessment and evaluation methods. The techniques such as fuzzy similarity function, fuzzy synthetic decision and satisfaction function have been adopted in these fuzzy evaluation methods. However, research that discover a scaling measurement which can express the subjectivity element and integrate the organisation‘s objectives and goals into the evaluation processes by utilising the fuzzy rule in the subjective evaluation method seem limited. Hence, this framework uses the application of fuzzy sets, and approximate reasoning to determine the performance evaluation of various characteristics in decision-making. The framework based upon fuzzy sets has initiated the idea of membership set score valued evaluation of each criterion alternative enables to include requirements which are incomplete and imprecise. The approximate reasoning of the method allows decision maker to make the best choice in accordance of human thinking and reasoning processes. The method introduces an approach of normalising data using similarity function which dampens the extreme value that exists in the data. The framework is suitable for dealing with evaluations in situations that involve subjectivity, vagueness and imprecise information, such as the grading system of evaluation which involves subjectivity, vagueness and imprecise information, such as the grading system evaluation which involves many hedges like "good", "bad" and "satisfactory"

Success Factors Driving E-Mba Acceptance

E-learning describes the use of information communications technology (ICT) for learning beyond the boundaries of the conventional classroom. Thus, the objective of this study is to determine what are the factors that are significant in explaining intention towards e-learning, particularly e-MBA adoption in Malaysia