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Thesis Reliability Fuzzy Logic

Fuzzy Logic Based Software Reliability Quantification Framework Prediction: Software Metrics and Fuzzy Logic Perspective. Advances in Intelligent Systems and Computing, Springer, 433 (2016), pp. 629-637. 4 : K. S. Kumar, Early Software Reliability and Quality Prediction, Ph. D. Thesis, IIT Kharagpur, nbsp; Fuzzy Logic Based Software Reliability Quantification Framework ; Reliability Quantification Framework; Software Defects; Software Metrics; Software Reliability. network, cause-effect graph analysis, multiple linear regressions, fuzzy logic, and many more. . The thesis had developed two multiple regression models (i) Complexity Estimation Model (CEM) and (ii). A fuzzy logic based approach to reliability improvement — CiteSeerX based approach to reliability improvement estimation during product development. Om Prakash Yadav a. , Nanua Singh a, , Ratna Babu Chinnama. , Parveen S. Goel b. aDepartment of Industrial and Manufacturing Engineering, Wayne State University, Detroit, MI 48202, USA. bTRW Automotive, Chassis nbsp; Predicting the Reliability of Software Systems Using Fuzzy Logic of Software Systems Using Fuzzy Logic. Sultan Aljahdali. Department of Computer Science. Taif University. Taif, Saudi Arabia. Aljahdali . sa. Alaa F. Sheta. Computers and Systems Department. Electronics Research Institute (ERI). Cairo, Egypt asheta66 . Abstract Software nbsp; Reliability Assessment of Distribution System Using Fuzzy Logic for for Modelling of Transformer and Line estimation of reliability indices since the data for the distribution components are usually inaccurate or unavailable. Fuzzy logic is an efficient method to deal with the uncertainty in reliability inputs. . functions of theses influential variables, and failure rate and average nbsp; A quot; Fuzzy quot; Logic, Possibilistic quot; Methodology quot; — Munin ; (c) estimation of possibility and necessity of failure in the event of MIC reliability, structural integrity. Page 4. ii. Page 5. iii. Acknowledgment. This thesis is submitted in fulfillment of Masters Degree in Technology and Safety in. High North at The University of Tromsø, nbsp; Summary of Thesis on Software Reliability Assessment using Neuro -logic approaches for the effective assessment of the Software Reliability after the extensive survey of existing machine learing techniques for the improvement of. Software Reliability 74 87 91 . In this research, a combined advantage of theoretical aspects nbsp; Reliability of systems under different fuzzy environments of systems under different fuzzy environments. Publisher: G. B. Pant University of Agriculture and Technology, Pantnagar — 263145 (Uttarakhand). Language: en. Type: Thesis. Pages: 123. Agrotags: null. Keywords: Reliability, fuzzy logic. Abstract: The present work consists of five chapters. A brief summary of nbsp; master 39;s thesis — BIBSYS Brage Title of Thesis: Optimization of Maintenance Performance for Offshore. Production Facilities. ECTS: 30. Subject headings: efficiently, advanced software tools (such as fuzzy logic, neural networks, and simulation based optimization) have been reliability centre maintenance sequential time event plotting nbsp; Fuzzy risk assessment for construction projects — Epsilon Archive for also leaves a smaller analysis of the risks in these projects and how they should be handled and The fuzzy logic was developed in the 1960 39;s by Lotfi A. Zadeh (Carr and Tah, 2001). The method is used to . assembling approaches, and evaluates the impacts on reliability, validity and ethical considerations.

Modelling the impact of traffic incidents on travel time reliability

(TTR) has become one of the most important indicators of transport performance. In this regard, the impact of traffic incidents thesis established a four-stage logical framework to achieve the main objective of this research. The research was aimed at modelling traffic 3. 2. 10 Fuzzy logic models . application of fuzzy logic in qualitative performance measurement of In Qualitative Performance. Measurement Of Supply Chain Management. Amina Saleh Omar. A Thesis Submitted in partial fulfillment for the Degree of Master of. Science in Computer Systems in the Jomo Kenyatta University of. Agriculture amp; Technology. 2016 nbsp; Application of Fuzzy Logic in Early Stage Software Reliability Predic- tion: Software Metrics and Fuzzy Logic Per- spective, Advances in Intelligent Systems and. Computing, 433:629-637, 2016. 4. Kumar K S. Early Software Reliability and. Quality Prediction, Ph. D. Thesis, IIT Kharag- pur, Kharagpur, India nbsp; Fuzzy Modeling of Soil Maps . Supervisor: Professor Kirsi Virrantaus. Instructor: Dr. Vesa Niskanen. Espoo, 31st May military cross-country mobility analysis and the assessment of its reliability. The main data uncertainty, imprecision, fuzzy sets, fuzzy logic, soil nbsp; summary — Shodhganga of this system is: R(T) P(T gt;t). . t duuf. )( Present thesis entitled Analysis of fuzzy set approach in Some reliability models consist of five employs Boolean algebra and logical modeling to represent the relations among various failure events at nbsp; sample thesis title with a concise and accurate — Open Collections analysis, a framework for development of a fuzzy logic based condition rating tool is also proposed in this research. Fuzzy synthetic evaluation technique, which is based on fuzzy logic theory has been utilized for the proposed framework. External decay, internal decay nbsp; quot;Control of Thermal Power System Using Adaptive Fuzzy Logic , a conventional PID control and an adaptive fuzzy logic control is applied to two different thermal power systems. The simulations demonstrate that adaptive fuzzy logic control is proved to be more efficient and reliable than conventional PID control in power system control problem nbsp; MASTER THESIS IN MATHEMATICS/APPLIED — DiVA portal This thesis was done with the aid, help and great support of my supervisors tion, genetic algorithms, fuzzy decision making and other tools for solving . . reliability function. Degraded factor (A) The amount multiplied by mean time between failures of a component to get the operational MTBF 27 . Fuzzy logic — Wikipedia is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1. It is employed to handle the concept of partial truth, where the truth value may range between completely true and completely false. By contrast, in Boolean logic, the truth values of variables may only nbsp; Reliability Assessment of Distribution System Using Fuzzy Logic for Abstract: Reliability assessment of distribution system, based on historical data and probabilistic methods, leads to an unreliable estimation of reliability indices since the data for the distribution components are usually inaccurate or unavailable. Fuzzy logic is an efficient method to deal with the uncertainty nbsp; Dr. Surendra Kumar Ph. D. , MISTE, MIIST, FIE , MIEEE — IIT Roorkee Systems. Neural Networks Ph. D. Thesis Guided: 1. Some optimal control and Non-Linear Dynamic System Design Problems. 2. Fuzzy Reliability Studies amp; its Applications. Ph. D Thesis in Progress: . Reliability Fuzzy Logic Concepts. . Fuzzy logic applications in Reliability Engineering.

Master Thesis — UiO — DUO

In this thesis, we develop a method which combines CORAS and fuzzy logic. Therefore, the method should be general in order to apply in all situations of risk analysis. In addition to that, the method should be sound so that it generates reliable results in the context of risk assessment. As stated by McGrath nbsp; Match-up Strategies an Fuzzy Robust Scheduling for a Complex investigate a complex real world job shop scheduling / rescheduling problem, in which the produce efficient and reliable solutions. New orders 1. 6. Structure of the Thesis. 5. Introduction. Chapter 1. Background and related work. Rescheduling taxonomy. amp;. Match-up algorithms. Chapter 2. Fuzzy logic. amp;. A fuzzy logic approach to teacher performance — CSU ePress is brought to you for free and open access by CSU ePress. It has been Recommended Citation. Moran, Ashley Johnson, quot;A fuzzy logic approach to teacher performance measured by principal evaluations quot; (2015). Theses and. Dissertations. 212. . . Validity and Reliability of Fuzzy Logic Expert Systems . M. Sc. Thesis COST ESTIMATION OF CONSTRUCTION PROJECTS . ةزغ عاطق في دييشتلا عيراشلم فيلاكتلا باشح. مادختساب. ضماػلا قطنلما. Researcher. Nedal Salah Jameel Al Sheikh. Supervisor. Dr. Nabil El Sawalhi. A Thesis Submitted In Partial fulfillment of the requirement for the degree of nbsp; Petr Stemberk — FSv ČVUT : Heat and Moisture Transfer in Concrete: Czech Technical University, Prague, Czech Republic: June 1998; Ph. D. (Civil Theory of Fuzzy Sets in Material Modeling and Structural Design: Fuzzy Reliability Assessment: Experimental Investigation and Modeling of Concrete at Extremely nbsp; Download the full-sized PDF — ERA — University of Alberta and, except as herein before provided, neither the thesis nor any substantial portion thereof . 3. 2. 5 Fuzzy Logic. 72. 3. 2. 6 Fuzzy Expert Systems. 74. 3. 3 Fault Tree Analysis (FTA). 82. 3. 3. 1 Advantages of FTs in Decision Making. 85. 3. 3. 2 Fault Trees Appendix XIV- Risk Criticality Analyzer and Fuzzy Reliability. type-2 takagi-sugeno-kang fuzzy logic system and uncertainty in is to apply the type-2 TSK identification algorithm based on subtractive clustering For the theoretical contributions, this thesis introduces the development of fuzzy logic sets and systems possible to establish a reliable type-2 fuzzy tool condition estimation method based on information of nbsp; Study of fuzzy logic in safety and control systems in Nuclear Power Submitted in Partial Fulfillment of the Requirements for the Degree of. Master of Applied Key words: PID controller, fuzzy logic controller, control system design in nuclear power plants, breathing air system, reliability, safety instrumented system, risk reduction factor, instrument air, compressor, service water nbsp; PLASMA POSITION CONTROL IN THE STOR-M TOKAMAK: A in any manner, in whole or in part, for scholarly purposes may be granted by the professor or suggests that a control system, such as a fuzzy logic based controller, which does not require a system model Figure 5. 3 Reliability of the fuzzy logic controller and the modified PID controller during normal mode nbsp;

276175

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