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- MakaleAçık Erişim2024Scopus SJRQ41D fuzzy inverse logic method and its use in the design of thick reinforced concrete columns
Ertekin, Özteki̇N
In this study, without using any uniaxial force and bending moment (N-M) interaction diagrams, designs were carried out on thick columns subjected to uniaxial bending and compression by a novel 1 dimensional (1D) Fuzzy Inverse Logic (FIL) method. For this purpose, firstly, a Fuzzy Logic (FL) model was developed and the FIL method was applied to it thereafter. While, the cross-section width (b), the cross-section height (h), the rebar diameter(f), the numbers of reinforcement rows (Rx and Ry) placed into the cross-section in X and Y directions, the characteristic concrete compressive strength(fck) and the axial force ratio Nr=N/ (b.h.(fck/1.5)) were taken as variable parameters, concrete cover thickness (c), rebar strength (fyd) and k1 parameter defined for the concrete pressure block were kept constant in the developed FL model. After designs were performed on 15 columns having different variable variations by the 1D FIL method, moment bearing capacities of the obtained 9737 alternative designs determined conventionally were compared with the desired moment values. The evaluations made on the comparisons show that the FIL method is not only a very effective artificial intelligence method for the design of reinforced concrete thick columns but also a promising method for many other problems such as control, optimization, design, etc.
AtıfOpenAlex1İncele - MakaleAçık Erişim2023Shear strength estimations and shear designs on RC beams with limited ductility by FL and FIL methods; [BM ve BTM yöntemleri ile sınırlı sünekliğe sahip betonarme kirişlerde kesme dayanımı tahmini ve kesme tasarımı]
Öztekin, Ertekin
In this study, a fuzzy logic model was constituted by using the Fuzzy Logic (FL) method, which is one of the traditional artificial intelligence (AI) methods, in order to estimate the shear strength of reinforced concrete (RC) beams with limited ductility. In this model, beam width(bw), beam height(h), characteristic concrete compressive strength(fck), transverse reinforcement diameter(ØT), the number of arms bearing the shear force of the transverse reinforcement(n) and transverse reinforcement spacing(s) were taken into account as variable parameters. The model developed by using the problem data containing the solutions of shear force strength of 2640 beams with different cross-section properties were tested with 480 beam solutions different from these data. In the tests of the developed FL model, maximum percentage error, minimum percentage error, average percentage error and correlation coefficient values were obtained as 3.604,-0.091, 1.514 and R2=0.999678. By applying the fuzzy inverse logic method (FIL), which was recently developed by the author of this study, on the FL model, which is seen to have been developed quite sensitively from the test results, a total of 521 designs were obtained for 15 different RC beams with limited ductility subjected to shear. In order to check the accuracy of these designs, after shear strengths were obtained by conventional computations for these designs, % error and correlation coefficients were computed between the obtained strength values and the shear force values taken into account for the design. The promising results show that the FIL method can be used in the design of RC beams under shear force and even in other scientific studies such as design, optimization and control.
AtıfScopus1OpenAlex2İncele - MakaleAçık Erişim2021Fuzzy inverse logic: part-2. validation and evaluation of the method; [Bulanık ters mantık: kısım-2. yöntemin doğrulanması ve değerlendirilmesi]
Öztekin, Ertekin
In the first part of this study, which consists of two parts, the introduction of the fuzzy inverse logic method, its foundations, computation and process flow and details were given. In this second part, the method was applied on a very simple mathematical problem and on a simple civil engineering design problem in order to investigate and evaluate the validity of the method easily. Fuzzy inverse logic computations have been carried out on these two simple problems for different dimension, sensitivity and acceptable error values. By comparing the obtained results with the desired outputs and mathematical results, the effective computation ability of the method was tried to be revealed. As a result, it is understood that the method developed in this study has many promising aspects in terms of theoretical computations and practical applications and can be used effectively in many scientific fields.
AtıfScopus2OpenAlex3TR Dizin1İncele - MakaleAçık Erişim2021Fuzzy inverse logic: part-1. introduction and bases; [Bulanık ters mantık: kısım-1. giriş ve temeller]
Öztekin, Ertekin
In almost all deterministic and artificial intelligence techniques, for the solution of the scientific problems such as design and control problems, the output estimations are performed depending on manuplations on the values of input variables. With the other words, lots of different values derived from input parameters are tried in order to obtain desired output(s). Contrary to these conventional estimation methods, this study consists of two parts in which a new artificial intelligence method called fuzzy inverse logic(FIL) is developed to determine or estimate the value of the input parameters that give the targeted problem output. In the first part of this study, after providing a brief overview about the method of classical fuzzy logic(FL), the solution approaches and calculation details about FIL are given. In the second part of the study, fuzzy inverse logic method was used to solve one simple mathematical problem and one simple civil engineering problem. After the validity of the developed method was demonstrated by graphics and tables. some evaluations were made about the method.
AtıfScopus2OpenAlex3TR Dizin1İncele - BildiriYalnız künye2020Scopus SJRQ4A fuzzy decision maker to determine optimal starting time of shiftable loads in the smart grids
Altaş, Ismail Hakkı; Çakmak, Recep
Smart grid studies have been increased tremendously for past ten years in order to modernise and solve problems of current electrical grids. One of the aim of the smart grids is to react autonomously to the problems in electrical networks by means of artificial intelligence and decision maker. Fuzzy logic-based embedded control systems simulate human thoughts and decision making processes. So, fuzzy logic and fuzzy decision makers can be utilised in smart grids for automated system management. In this paper, a fuzzy decision maker has been proposed to manage time-shiftable loads in residences. The proposed fuzzy decision maker determines optimal starting time of time-shiftable loads in residential areas in order to provide balanced power curve and decrease peak load consumptions by scheduling the loads. Design stage of the proposed fuzzy decision maker have been introduced and presented clearly. Finally, a design example has been given to show the decision results.
AtıfScopus6İncele - Yüksek Lisans TeziAçık Erişim2016Bulanık kalite fonksiyon göçerimi yöntemi ile müşteri memnuniyet derecesi ölçümü: Bir sivil toplum kuruluşu örneği
Süleyman Ertemoğlu
Küreselleşme çağını yaşadığımız günümüz dünyasında yaşanan gelişmelere paralel olarak işletmeler açısından önemli olan müşteri memnuniyeti daha niteliksel bir değere dönüşmüştür. Rekabet piyasasında başarılı olmanın gerektirdiği müşteri memnuniyetini sağlamak, yine müşterilerin sesini iyi dinleyebilmekten geçmektedir. Bu çalışmada amaç; bir Sivil Toplum Kuruluşuna (STK) üye olanların sivil toplum kuruluşundan beklentilerini ve STK'ya olan aidiyet düzeylerini ortaya koymaktır. Bu amaçla Analitik Hiyerarşi Süreci ile Bulanık Kalite Fonksiyon Göçerimi'nin bütünleştirildiği bir modelden faydalanılmıştır. Çalışmanın sonuçları; en önemli müşteri isteğinin "Üye kaydını belirli standartlar çerçevesinde yapmak" en önemli teknik gereksinimin ise "Yatırımlar Konusunda Üyelerin Kişisel Donanımlarının Arttırılması" olduğunu göstermektedir. Ayrıca ele alınan sivil toplum kuruluşunun rakibine göre her bir kriterde üstünlük sağladığı tespit edilmiştir. Anahtar Kelimeler: Kalite Fonksiyon Göçerimi, Bulanık Mantık, Sivil Toplum Kuruluşları, Analitik Hiyerarşi Prosesi.
- BildiriYalnız künye2011The control of an automatic door using fuzzy logic
Sümbül, Harun; Coşkun, Akif; Taşdemir, Muharrem
In this paper; a fuzzy logic have designed to the control of an automatic door. Input status (WS: Walking Speed and DD: Distance Door) and the output status (DOS: Door Opening Speed) is determined. According to these statuses, rule bases (25 rules) have obtained. And the rules bases have been processed by a fuzzy logic and have tried to control of an automatic door. As a result; in this study, we have obtain very good results in control of an automatic door with fuzzy logic. The results of analyses have indicated that the controls performed with fuzzy logic provided both less time, less probability and reliable, consistent controls and that are feasible to in real.
AtıfScopus8OpenAlex6İncele
