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AUTOMATIC DECISION-MAKING: NEURAL FIRING AND RESPONSE 被引量:6
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作者 Thomas L. SAATY 《Systems Science and Systems Engineering》 CSCD 2004年第4期385-404,共20页
In contrast with conscious decision-making, there are numerous subconscious decisions that we make without thinking about them. Some are biological and are made by different parts of our body to keep it alive and fu... In contrast with conscious decision-making, there are numerous subconscious decisions that we make without thinking about them. Some are biological and are made by different parts of our body to keep it alive and functioning normally. Others are a result of repetition and training that we can then do without thinking about them. The mathematics of conscious decisions with the Analytic Hierarchy and Network Processes is discrete, and has been discussed in the first three parts published on the subject. The mathematics of subconscious decisions is continuous. Here, we generalize the discrete mathematics of conscious decisions to the continuous case and develop it in some depth to apply to the synthesis of firings in the brain. 展开更多
关键词 decision-MAKING automatic decisions analytic hierarchy process analytic network process neural firing compatibility index
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GEAR POSITION DECISION METHOD OF AUTOMATED MECHANICAL TRANSMISSION BASED ON FUZZY INFERENCE 被引量:2
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作者 Qin Guihe Zhang Hongkun Lei Yulong Ge Anlin (Jilin University of Technology) 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 1999年第1期77-81,共5页
A gear position decision method used in automated mechanical transmission is introduced. The algorithm of the mechod is composed of a driving environment and driver's intention estimator, the shift schedules suit ... A gear position decision method used in automated mechanical transmission is introduced. The algorithm of the mechod is composed of a driving environment and driver's intention estimator, the shift schedules suit for each typical driving environment and driver's intention situation, and an inference ligic to determine the most proper gear position for the present situation. The estimator identifies the driving environment and driver's intention features which are divided into some typical models. Based on the identified results, the algorithm works out the best gear position. It just simulates the course of driver's making gear position decision when driving a automobile with manual transmission. The test results show that the automated mechanical transmission with the method gives less unnecessary shifting and more proper gear position than common shift schedules. 展开更多
关键词 automatic transmission Gear position decision Driving environment identification Fuzzy logic control
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