According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which co...According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which consists of safety diagnosis fuzzifier, defuzzifier, fuzzy rules base and inference engine. Through the safety diagnosis on coal mine roadway rail transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system.展开更多
Rock mass rating system （RMR） is based on the six parameters which was defined by Bieniawski （1989） [1]. Experts frequently relate joint and discontinuities and ground water conditions in linguistic terms with rou...Rock mass rating system （RMR） is based on the six parameters which was defined by Bieniawski （1989） [1]. Experts frequently relate joint and discontinuities and ground water conditions in linguistic terms with rough calculation. As a result, there is a sharp transition between two modules which create doubts. So, in this paper the proposed weights technique was applied for linguistic criteria. Then by using the fuzzy inference system and the multi-variable regression analysis, the accurate RMR is predicted. Before the performing of regression analysis, sensitivity analysis was applied for each of Bieniawski parameters. In this process, the best function was selected among linear, logarithmic, exponential and inverse func- tions and finally it was applied in the regression analysis for construction of a predictive equation. From the constructed regression equation the relative importance of the input parameters can also be observed. It should be noted that joint condition was identified as the most important effective parameter upon RMR. Finally, fuzzy and regression models were validated with the test datasets and it was found that the fuzzy model predicts more accurately RMR than reression models.展开更多
The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resou...The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resources such as the cultivation of sweet sorghum and the zeolite deposits was held. Data were collected by heads of selected households of the Municipality of Trigono （Evros, Greece）. The simple random sampling was applied and a face-to-face interviewing and filling in of the forms of a questionnaire was conducted. It was estimated that some 44,778-55,971 acres of land should be cultivated with sweet sorghum for a satisfactory production of bioethanol in a bioethanol plant in the order of 120,000-150,000 tons/year. Furthermore, in this paper an optimum solution was estimated by using of the Fuzzy Logic Toolbox of Matlab （Intelligent system） which is formulated as follows ＂the bioethanol plant absorbing the sweet sorghum＇s production of a cultivating area of 46,600 acres and operating 12 hours/day would produce 125,000 tons of bioethanol annually＂. Such a vast area of land would offer occupation to a significant number of young farmers for the cultivation of sweet sorghum.展开更多
基金Project(2006BAK04B0302)supported by the National Science and Technology Pillar Program during the 11th Five-year Plan of China
文摘According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which consists of safety diagnosis fuzzifier, defuzzifier, fuzzy rules base and inference engine. Through the safety diagnosis on coal mine roadway rail transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system.
文摘Rock mass rating system （RMR） is based on the six parameters which was defined by Bieniawski （1989） [1]. Experts frequently relate joint and discontinuities and ground water conditions in linguistic terms with rough calculation. As a result, there is a sharp transition between two modules which create doubts. So, in this paper the proposed weights technique was applied for linguistic criteria. Then by using the fuzzy inference system and the multi-variable regression analysis, the accurate RMR is predicted. Before the performing of regression analysis, sensitivity analysis was applied for each of Bieniawski parameters. In this process, the best function was selected among linear, logarithmic, exponential and inverse func- tions and finally it was applied in the regression analysis for construction of a predictive equation. From the constructed regression equation the relative importance of the input parameters can also be observed. It should be noted that joint condition was identified as the most important effective parameter upon RMR. Finally, fuzzy and regression models were validated with the test datasets and it was found that the fuzzy model predicts more accurately RMR than reression models.
文摘The cultivation of sweet sorghum （sorghum bicolor） is still one of the new promising energy crops for bioethanol production nowadays. An opinion poll for the establishment of a bioethanol plant utilizing local resources such as the cultivation of sweet sorghum and the zeolite deposits was held. Data were collected by heads of selected households of the Municipality of Trigono （Evros, Greece）. The simple random sampling was applied and a face-to-face interviewing and filling in of the forms of a questionnaire was conducted. It was estimated that some 44,778-55,971 acres of land should be cultivated with sweet sorghum for a satisfactory production of bioethanol in a bioethanol plant in the order of 120,000-150,000 tons/year. Furthermore, in this paper an optimum solution was estimated by using of the Fuzzy Logic Toolbox of Matlab （Intelligent system） which is formulated as follows ＂the bioethanol plant absorbing the sweet sorghum＇s production of a cultivating area of 46,600 acres and operating 12 hours/day would produce 125,000 tons of bioethanol annually＂. Such a vast area of land would offer occupation to a significant number of young farmers for the cultivation of sweet sorghum.
