34 research outputs found
Managing Cloud Computing Environment: Gaining Customer Trust with Security and Ethical Management
No full textAbstractThis paper aims to find out the management best practices of new hype of technology like Cloud computing. The management of such environment is highly dependent on the trust relationship between the cloud service providers and their customers (and/or other businesses). This trust is not only dependent on the latest technological tools, but rather also dependent on the management strategy in such highly critical environment. To achieve this objective, a survey was conducted related to the acceptability of the cloud services which has resulted in three main sections. These were: security, data protection and ethics in cloud computing environment. The sample size was 441 where it was resulted in highly significant relationship between ethics and security as well as ethics and data protection which are the main two motivations for any business to join the cloud. Based on this study, a guideline of managing cloud computing to maintain these three issues was described. Ten steps were proposed to protect cloud services from possible unethical behaviors as well as to protect systems from possible security breach
A New Optimization Methodology Using the Concept of Fuzzimetric Arcs
No full textIntegration of fuzzy systems with genetic algorithm has been identified by researchers as a useful technique of optimizing systems under uncertainty. This integration is usually referred to as Genetic Fuzzy systems (GFS) where different researchers adopted different techniques to achieve the functionality of GFS. This paper proposes another new methodology based on the concept of Fuzzimetric Arcs which is also reviewed in this paper. This new proposed technique is termed as Genetic Fuzzimetric Technique (GFT) where the strength of this technique is based on the systematic approach of defining fuzzy sets (variables), cross-over and mutation of these variables in order to find the optimized performance. Most of real life decision making processes are of that type of uncertainty and hence the need of a fuzzy system that can be optimized. One such problem is to decide on the expected performance level of the student during the admission process to the university. This example was taken as a vehicle to clarify the mechanism of GFT.N/AIncludes bibliographical references and author inde
Implementation of a Multivariable Modular Structure for Fuzzy Taxi Scheduling System (FTSS)
No full textTaxi scheduling problem represent the heart of management problems for most Taxi companies. This is due to the fact that information in such environment is dynamic in nature with a high degree of uncertainty. Fuzzy logic can be utilized to deal with such uncertainty in the information. Genetic algorithm can be utilized for optimization of solution. This paper describes the implementation of a hybridized intelligent algorithm to reach a decision under uncertainty and to tune the possible solution using genetic algorithm. This hybridization is one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). GFT was used with AHP technique to develop a prototype system to illustrate the proposed solution to the taxi scheduling problem termed as “Fuzzy Taxi Scheduling System” (FTSS). The developed prototype can also act as an educational tool towards illustrating the mechanism of building modular multivariable fuzzy system. Using FTSS, five criteria were chosen as inputs and one needed output which is the score of specific driver/taxi. An example of 4 Taxis/Drivers with different characteristic values was executed on FTSS to achieve the final optimized Taxi choice.N/AIncludes bibliographical references and author index
Fuzzimetric Type-2 Sets Representation Using Fuzzimetric Arcs
No full textThis paper proposes the implementation of Fuzzimetric Arcs concept, which was originally designed for Fuzzy Type-1. The concept has been extended in this paper to accommodate the Fuzzy type-2 notation. The new proposed representation of Fuzzy Type-2, termed in this paper as Fuzzimetric Type-2, includes the definition of “Degree of Fuzziness” (DOF), that allows the fuzzy set to be located fuzzily (randomly) between upper and lower bounds as defined in this paper. It has been shown that Fuzzimetric Type-1 is only a subset of Fuzzimetric Type-2 by setting the DOF value to zero.N/AIncludes bibliographical references
Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)
No full textDecision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. Combining these techniques provides an enhanced capability of any decision support systems (DSS. This paper discusses a modular approach toward implementing Genetic Fuzzy system termed as “Genetic Fuzzimetric Technique” (GFT). The technique utilizes input importance factor to combine the modular structure into final decision process. The objective of this combination provides the ability of the system to interact and “take decision” in an environment in the same manner as the human decision maker would do. This proposed system is ideal in cases where mathematical modeling either does not exist or insufficient for appropriate decision making under uncertainty. Most of real life decision making processes are of that type of uncertainty. One such problem is to decide on the predicted GPA level for students during the admission process to the university. This is mainly dependent on High School (HS) performance, Sophomore Exam (SE) results and English exam (EEE) performance. Looking at the historical data of students, fuzzy logic can be used to develop rules based on these data. Genetic Algorithm would be used to optimize the performance of the system.N/AIncludes bibliographical references
The Non-Technical Issues with Autonomous Vehicles
No full textAutonomous vehicles (AV) are an excellent concept with many benefits in terms of lowering the number of accidents and serving as a convenient and cost effective in the future. Some manufacturers started testing such products in a trial environment. This paper discusses issues related to the release of AV commercially in the market. Issues are related to business, insurance, and traffic implications, cloud computing usage as well as privacy and security issues. The objective of this digest paper is to highlight these issues in order to put an efficient strategy before commercial release of such a beneficial product.N/AIncludes bibliographical references
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
No full textCombination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. GFT (Genetic Fuzzimetric Technique) is of no exception which merges Fuzzy logic with genetic algorithm to achieve the optimization of the decision making process under uncertainty. Multivariable structure of any fuzzy rule based system would add complexity when modeling the behavior of the system. The objective of many researchers in the field is to minimize this complexity and enhance the accuracy. The proposed technique is designed to be a modular approach by resembling biological structure where it avoids the complexity instead of minimizing it while attaining acceptable accuracy of the system. After reviewing the mechanism of GFT, a sample application to measure the CRM performance analysis was used as a vehicle to demonstrate the technique. A generic tool termed as Fuzzy Inference Engine (FIE) was built to demonstrate the multivariable modular approach used to implement the CRM performance measurement.N/AIncludes bibliographical references
Are we ready to “talk” to our cars?
No full textAutonomous vehicles are mainly based on sensory devices to be able to take decisions. Some linguistic terms we use as human beings cannot be well understood by machines without implementation of some type of intelligence. Computing with words (CWW) is one mechanism that allows machines to have this capability and hence allowing humans to "talk" to their cars by giving them uncertain (fuzzy) commands like "Closest parking" and "Highest speed". This paper explores the possibility of using fuzzy logic and computing with words (CWW) to allow drivers to "talk "to their cars.N/AIncludes bibliographical references
A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System
No full textAbstractThis paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). The proposed technique is based on the genetically inspired operations of crossover and mutation to achieve an optimized solution used to tune the fuzzy set shape (variables) within the rule-set. The GFT deals with knowledge representation in a modular form where each module -- termed a chromosome, in this article -- represents the defuzzified value of a rule-set inferring a specific output from a fuzzy input. A multivariable system, in this case, is the combination of all these chromosomes via a weighting factor termed the “Input Importance Factor”. This paper also explains the Analytic Hierarchy Process (AHP) technique which is proposed as a pairwise comparison methodology for the creation, selection and adaptation of the Input Importance Factor. The proposed GFT mechanism can be applied to any decision making problem within an uncertain environment. One example would be the determination of CRM performance measurement given a variety of inputs related to marketing, data mining tools, ordered materials and communication
Impact of un–ethical IT behaviours to cloudy businesses
No full textThe purpose of this paper is to provide guidelines for the implication of unethical IT behaviour on businesses and methods to prevent or to manage the possibilities of such conduct. As most businesses are moving towards the 'Cloud', this issue becomes of utmost sensitivity to most businesses and needs to be addressed. The paper review the risk associated with unethical IT behaviours and emphasises the integration of managerial actions in conjunction with technology protection.PublishedN/
