[1] () [2]Şen Z., “ Bulanık (Fuzzy) Mantık Ve Modelleme İlkeleri”, Bilge Sanat Yapım Yayınevi. Bulanık mantık ve modelleme ilkeleri. Z Şen. Bilge Kültür Sanat 84, Prediction of wave parameters by using fuzzy logic approach. M Özger, Z Şen. Şen, Z. (). Bulanık mantik ilkeleri ve modelleme. Turkish Water Foundation Publications. Şen, Z. (). Fuzzy logic and hydrological modeling. New York.

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For this, each decision maker expressed the effects of the projects on the criteria with the verbal variables of “very little”, “little”, ” medium little “, “medium”, “medium much”, “much” and “very much”; then the fuzzy decision matrices of each decision maker were combined to be a single fuzzy matrix.

Land classification is one of the most important stages of consolidation projects. What Is Six Sigma?

Click here to sign up. Ratio of the final exam to total success: However, homeworks at Matlab and Simulink environment will be assigned. The integration of the orderings obtained from all three methods by using the Copeland method was provided and the six sigma project having the highest score in the new order was reported to the top management reporting that it should primarily be put into practice.

To eliminate this anxiety, the advantages and disadvantages of fuzzy multi-criteria decision making methods were integrated into a single order by blending them with the Copeland ordering method. Prediction of these circumstances in a systematic manner is possible only after making some assumptions.

Type of Assessment Written exam Homework assignment. These are included in the literature as “fuzzy multi-criteria decision making techniques” and have been used in many studies.


Since the implementation of a project when it is not needed will cause high costs and the motivation loss of employees, the selection of the project to be considered primarily among the possible projects undertake a key role in success. This situation pushes the decision maker to ask the question “which project should I choose by which method?

The Copeland ordering method, which ge included in the voting methods, was used to integrate the orderings obtained from all three methods as a single ordering. Thus, ce orderings obtained by the integration of the methods with Copeland gave more confidence to the decision makers. Keywords Fuzzy logic, Land consolidation, Land classification, Fuzzy systems.

Zekai ŞEN – Google Akademik Alıntılar

Mizutani, Prentice Hall, 3. A triangular fuzzy decision matrix integrated from the membership functions determined by DMAC for each decision maker was obtained and the decision maker weights were obtained after the refinement and normalization processes. To gain the ability of decision making and controlling of the systems using fuzzy logic. As a result of fuzzy inference and defuzzification process, the model formed by Mamdani Type Fuzzy Logic gives the value of parcel index.

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Second Cycle Master’s Type of course: In this direction, integration with fuzzy logic in order to maximize the contributing elements of the multi-criteria decision making techniques further increases the efficiency further in decision making.

The most important of these factors is the six sigma projects selected at the wrong time and without considering the priority order. Area Elective Language of instruction: Enter the email address you signed up with and we’ll email you a reset link.


FUZZY LOGIC – hmertunc

An International Journal, c. The long history, corporate and financial structure, and importance to quality studies of the company, and most importantly, its propensity for six sigma philosophy were also the reasons for selecting HAUS. Own studies outside class: In addition, it was observed in modelleke studies that the projects are evaluated in the framework of fuzzy logic and positive results are obtained.

There is no laboratory for this class.


No Purpose of the course: In this study, since six sigma project evaluation criteria contain uncertainty, it has been found appropriate to use fuzzy logic and fuzzy multi-criteria decision making methods in project selection, which are the closest ilkeeri to human thinking style.

This course covers; classical sets and fuzzy set theorem, fuzzy logic principals, the basic structure of fuzzy logic controllers, system variables and fuzzy parameters, fuzzification methods, the construction of rule tables, fuzzy inference ipkeleri defuzzification techniques, the design of fuzzy logic controllers, case studies and applications using fuzzy logic controllers. Help Center Find new research papers in: Thesis defense was made in The implementation work was carried out by following a three-step process.

In this study we first summarize the fundamentals of the mode,leme logic theory and then give an application of the theory to a flight problem.