Yoghurt production was modeled in this study based on different incubation temperatures, inoculum ratio of starter culture and times. Experimental yoghurts were produced two replicates final pH values 343 yoghurt samples determined. Resultant used fuzzy logic modeling system. Fuzzy modelling conducted sections: rules set membership function generated the first section defuzzification second sec...

Rice is the most important staple food for humans to have energy carry out activities. The purpose of this study provide information public in form a reference selecting rice based on consumer interest, so that it can be used as decision making buying rice. Mamdani method able solve problems case selection references. work process Sugeno consists four parts, namely fuzification, inference engin...

The design and implementation of a fuzzy logic controller (FLC) are presented, offering solution to improve the irrigation rose crops. objective is reduce water consumption operative costs, taking advantage intelligent controllers environmental characteristics in specific region. Considering that main controllable variables affect growth plants relative humidity (RH) temperature (T), this study...

Cloud computing is the technology that provides different types of services as a useful resource on Internet. Resource trust value will help cloud users to select provider for processing and storing their essential information. Also, service providers can give access based secure resources from malicious users. In this paper, models are proposed, which comes under subjective model behavior user...

Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership function training in the context of Mamdani fuzzy models. Specifically, auto zoom function of a digital camera is modelled using Mamdani technique. The performance of control method is verified through a series of simul...

Abstract—In fuzzy control systems, fuzzification and defuzzification are two important procedures. Defuzzification plays an important part in the implementation of a fuzzy system, since the fuzzy data is not suitable for real time applications; it needs to be converted into crisp data. This paper proposes a novel VLSI architecture of a weighted average method (WAM) defuzzification method. The W...

Many factors related to river run-off are vague, subjective and difficult to quantify. The fuzzy logic method is very useful for such problem solving approach such as small hydro power generation. The rule base and membership functions have a great influence on the performance and efficacy of the plant and also to optimize the small hydro power generation in the high altitude region particularl...

One of the most promising areas scientific research in field analysis, forecasting and modelling economic phenomena processes is fuzzy logic. In article with use logic apparatus (Fuzzy Logic toolkit MATLAB software package) a model for assessing development manufacturing indicators developed. Key evaluating activities energy enterprises are analysed. The based on microeconomic enterprises’ effi...

This paper presents an effective comparison between various edge detection techniques and emphasizes on how fuzzy logic can be applied for edge detection. Edges provide the representation of object boundaries thus, filtering unnecessary data and that is the reason behind edge detection being an essential component in many computer image processing subfields such as classification, feature extra...

Abstract The uptake of plant nutrients causes nutritional imbalances in hydroponic recirculating systems. Generally, the biological parameters nutrition solution systems are regulated by pH and that affect health; thus, they must be monitored managed. In order to solve this issue, a fuzzy logic-based automated control system for intelligent hydroponics was developed. This paper describes implem...