SELECTION OF THE MOST SUITABLE CITY FOR A NUCLEAR POWER PLANT BY USING FUZZY AHP AND FUZZY ANP METHODOLOGIES

Author(s):  
NİHAN ÇETİN DEMİREL ◽  
G. NILAY YÜCENUR
1987 ◽  
Vol 79 (3) ◽  
pp. 311-321 ◽  
Author(s):  
Fahmy M. Hussein ◽  
Mohamed A. Obeid ◽  
Khalid S. El-Malahy

2014 ◽  
Vol 701-702 ◽  
pp. 219-222
Author(s):  
Chun Yang Liu ◽  
Jing Wei Zhang ◽  
Xue Feng Zheng ◽  
Xu Yan Tu

In this paper, an algorithm concerning the primitive action affordances of learning nuclear power plant maintenance robot is presented. The algorithm generates a random matching data set through a new matching method, which is utilized for the selection of object operation, with the matching rate improved by trial and error, and then the attempt number for a successful operation is reduced. In the end, simulation is conducted to verify the feasibility and correctness of the proposed algorithm.


2020 ◽  
Vol 185 ◽  
pp. 01038
Author(s):  
Shao Jiaye

Several instrument tubes vibrated during the C stage commissioning period of a PWR nuclear power plant. This essay firstly analyzed the selection of instrument tubes and the velocity of the tubes vibration. Moreover, the author proposed solution towards the tubes vibration which was proved to be effective after applying on the nuclear power plant instrument tubes. The method proposed should be applicable when similar situation reoccurred in other plants.


Author(s):  
Donald L. Fisher ◽  
Nancy S. Tanner

A new model of the visual search process is developed which can improve the design of large symbol sets such as those used by nuclear power plant personnel, air traffic controllers, and battlefield troops. An experiment was conducted to determine whether the new, componential model or an already existing, discriminability model better explains visual search behavior. The results were consistent with the componential model. We show how to use the componential model to help automate selection of the optimal symbol set (i.e., the symbol set that minimizes the average time to find a target).


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