Development by Fuzzy Algorithm
نویسنده
چکیده
The global economy has entered the era of rapid industrialization, especially in developing countries; however, under the dual constraints of resources and environment, the extensive economic growth mode will probably seriously affect the process of China’s industrialization and modernization. To keep a balance between industrialization and environment and energy requirements, the development of low-carbon economy is an inevitable strategic choice. Through practical algorithm application, we are trying to verify the rationality and validity of fuzzy algorithm in the evaluation of low carbon economic development level. Model evaluation results can not only classify the low carbon industries, but also demonstrate the relationship among different industrial indexes. Copyright © 2013 IFSA.
منابع مشابه
Electrical Energy Storage on the Hybrid Grid of Renewable Energy System Using Fuzzy Controller Optimization Algorithm
The main risks of arising from the using fossil fuels can be referred to environmental pollution, the effects of greenhouse gases, climate change and acid rain. For this reason, efficient use of energy in economic development has always been considered as an important goal of sustainable development. In this study, the effects of time-varying electricity prices in the energy storage components ...
متن کاملAn integrated environmental management approach to industrial site selection by genetic algorithm and fuzzy analytic hierarchy process in geographical information system
Environmental planning and management can have positive effects on development of some land uses including industrial areas that have a major effect on economic, social and environmental conditions. Considering the most important problems associated with modeling, the fundamental methods and functions of site-selection laid inside the geographical information system are not accounted for the mu...
متن کاملSensitivity Analysis and Development of a Set of Rules to Operate FCC Process by Application of a Hybrid Model of ANFIS and Firefly Algorithm
Fluid catalytic cracking (FCC) process is a vital refinery process which majorly produces gasoline. In this research, a hybrid algorithm which was constituted of Adaptive Neuro-Fuzzy Inference System (ANFIS) and firefly optimization algorithm was developed to model the process and optimize the operating conditions. To conduct the research, industrial data of Abadan refinery FCC process were car...
متن کاملADAPTIVE FUZZY TRACKING CONTROL FOR A CLASS OF PERTURBED NONLINEARLY PARAMETERIZED SYSTEMS USING MINIMAL LEARNING PARAMETERS ALGORITHM
In this paper, an adaptive fuzzy tracking control approach is proposed for a class of single-inputsingle-output (SISO) nonlinear systems in which the unknown continuous functions may be nonlinearlyparameterized. During the controller design procedure, the fuzzy logic systems (FLS) in Mamdani type are applied to approximate the unknown continuous functions, and then, based on the minimal learnin...
متن کاملOPTIMIZATION OF FUZZY CLUSTERING CRITERIA BY A HYBRID PSO AND FUZZY C-MEANS CLUSTERING ALGORITHM
This paper presents an efficient hybrid method, namely fuzzy particleswarm optimization (FPSO) and fuzzy c-means (FCM) algorithms, to solve the fuzzyclustering problem, especially for large sizes. When the problem becomes large, theFCM algorithm may result in uneven distribution of data, making it difficult to findan optimal solution in reasonable amount of time. The PSO algorithm does find ago...
متن کاملDesigning volleyball talent identification software based on fuzzy logic
Using appropriate devices and scientific methods by coaches and trainers can accelerate the process of sport talent identification and development, and could also provide condition in which capable athletes to be directed in to suitable sport according to their abilities and skills. Former researches in scope of sport talent identification usually have been done in order to determine or normali...
متن کامل