[PDF] Top 20 Fuzzy Mathematical Models of Type 1 and Type 2 for Computing the Parameters and its Applications

... This work, also focused on an interval type-2 non-singleton type-2 FLS IT2 NS-T2 FLS in order to determine how to assign all the parameters of the antecedent and consequent MFs using the[r] ... See full document

... new fuzzy regression model that is supported by support vector regression is ...presented. Type- 2 fuzzy systems are able to tackle applications that have significant ...general ... See full document

... Abstract—Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy ...models. Type-1 models with one index (membership grade) ... See full document

... Type-2 fuzzy sets are relatively new in the world of fuzzy sets and ...[21], type-2 sets did not gain popularity until their reintroduction by ...newer fuzzy sets were now ... See full document

... in type-2 (T2) fuzzy systems has led to an increase in research on interval T2 (IT2) ...T2 fuzzy system based on linguistic inputs and numeric ...T2 fuzzy logic system (FLS) Mendel ... See full document

... and fuzzy logic based enhancement technique [16] for low contrast color ...Two parameters such as K and M were used in the proposed technique, where K is the contrast intensification parameter and M is the ... See full document

... many applications at least some of the systems parameters and measurements are represented by fuzzy rather than crisp numbers, it is important to develop mathematical models and ... See full document

... many applications at least some of the system parameters and measurements are represented by fuzzy rather than crisp numbers, it is important to develop mathematical models and ... See full document

... of fuzzy sets, Zadeh (1975) introduced type-2 fuzzy sets that membership functions of type-2 fuzzy sets are type-1 ...The type-2 fuzzy ... See full document

... (b) Type-2 membership function obtained blurring a type-1 membership function symmetrically with respect to the centre ...the type-2 fuzzy controller starts with ... See full document

... Based on the evaluation of this research, there are three input sensor that we used. Each sensor should achieve the task of moving to the destination and avoid obstacles. Thus, the robot has three tasks: avoiding ... See full document

... alized in numerous ways with introducing suitable parameters and weight coefficients. (For example, see [–] and the references therein.) In particular, by introducing a Hilbert-type linear operator with a ... See full document

... Pachpatte, “On an inequality of Ostrowski type in three independent variables,” Journal of Mathematical Analysis and Applications, vol.. Pachpatte, “On a new Ostrowski type inequality in[r] ... See full document

... 2 fuzzy set, which is an extension of the concept of an ordinary fuzzy set, was introduced by Zadeh ...(1975). 2 fuzzy set is characterized by a membership function, ...a fuzzy ... See full document

... the control of the temperature field in the slab when only measuring the temperature in the furnace, is a highly applicable problem in many industries. In order to control the temperature of the slab, it is necessary to ... See full document

... A typical interacting chemical process for heating consists of a chemical reactor and a shell and tube heat exchanger system. The process fluid which is the output of the chemical reactor is stored in the storage tank. ... See full document

... order fuzzy sets, intuitionistic fuzzy sets(IFS)[2,3] have been found to be highly useful to deal with ...of fuzzy set theory for various objectives, the notion introduced by Atanassov[2] in ... See full document

... Cloud computing is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle ...Cloud computing provides significant ... See full document

... for fuzzy PID controllers, GA may not be able to reach the global optimal ...for fuzzy PID controllers based on our knowledge on the PID control ...T1 fuzzy PID controller, and T1 fuzzy PID ... See full document

... Clinical decision-making, diagnosis, and treatment are complicated issues and in some cases, even experts fail to have an agreement in this regard. Thus, intelligent systems could be in account as a great help for ... See full document