scholarly journals Configuration of product plan based on case reasoning of extenics

2021 ◽  
Vol 60 (2) ◽  
pp. 2607-2618
Author(s):  
Zhenghong Liu ◽  
Jie Liu ◽  
Jian Lyu ◽  
Huiliang Zhao ◽  
Yuliang Xu
Keyword(s):  
Case Reasoning

The Algorithm of Case-Searching Based on AHP Application

2014 ◽  
Vol 513-517 ◽  
pp. 2416-2419
Author(s):  
Cai Xia Wang ◽  
Ning Liu
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Case Management ◽  
Critical Case ◽  
Case Analysis ◽  
Basic Function ◽  
Knowledge Management System ◽  
Teaching Case ◽  
Trained Teachers ◽  
Case Reasoning

The knowledge management system of teaching case corpus adopts case reasoning technology in the field of artificial intelligence. The whole system includes altogether ten modules. They are case uploading, case modification, case analysis, case algorithm and critical case management. The basic function is to assist the trained teachers to get the teaching case knowledge from other teachers, so as to develop teachersspecialty. In the module of case algorithm , in the application of the algorithm of case-searching based on AHP, the case needed by the users can be sorted out in an objective and fair way.

An intelligent optimization control method for the electrode current of submerged arc furnaces based on case reasoning

2020 ◽  
Vol 234 (10) ◽  
pp. 1088-1100
Author(s):  
Jianjun He ◽  
Chang Wang ◽  
Qi Zhu ◽  
Ling Shen ◽  
Mande Jing ◽  
...  
Keyword(s):  
Control System ◽  
Control Method ◽  
Arc Furnace ◽  
Intelligent Optimization ◽  
Electrode Current ◽  
Three Phase ◽  
Optimization Control ◽  
Submerged Arc Furnace ◽  
Case Reasoning ◽  
Submerged Arc

Due to the nonlinearity, strong coupling, and time-varying characteristics of three-phase electrode lift system of submerged arc furnace, the existing manual operation has the problems of electrode control hysteresis, poor balance of three-phase electrode current, and blindness of electrode current target setting. An intelligent optimization control method for the electrode current of submerged arc furnace based on case reasoning is proposed in this article, which is used to realize the automatic control of the electrode control system of the submerged arc furnace. First, the optimization model of electrode current setting value of the submerged arc furnace is established by the case-based reasoning method, and the corresponding electrode current value is calculated to maximize the yield in the safe power range of the furnace. Next, a three-phase electrode current decoupling controller is designed based on fuzzy rules. Finally, an intelligent optimization control system of three-phase electrode current of submerged arc furnace is designed and its superiority is verified by comparison with the proportional–integral–derivative controller. The designed control system has been applied to the smelting production of submerged arc furnace in a domestic smelter. The simulation and industrial operation results show that the system realizes automatic balance adjustment of electrode current of submerged arc furnace under normal working conditions, which greatly reduces the labor intensity of the operator, increases the smelting yield, reduces the unit energy consumption, and brings significant economic and social benefits to the enterprise.

Reasoning on the Semantic Web

2011 ◽  
pp. 110-133
Author(s):  
R. Brussee
Keyword(s):  
Real World ◽  
Description Logic ◽  
World Knowledge ◽  
Closed World Assumption ◽  
Sharp Distinction ◽  
Ontology Language ◽  
Closed World ◽  
Present Information ◽  
Logical Modeling ◽  
Case Reasoning

We describe reasoning as the process needed for using logic. Efficiently performing this process is a prerequisite for using logic to present information in a declarative way and to construct models of reality. In particular we describe description logic and the owl ontology language and explain that in this case reasoning amounts to graph completion operations that can be performed by a computer program. We give an extended example, modeling a building with wireless routers and explain how such a model can help in determining the location of resources. We emphasize how different assumptions on the way routers and buildings work are formalized and made explicit in our logical modeling, and explain the sharp distinction between knowing some facts and knowing all facts (open vs. closed world assumption). This should be helpful when using ontologies in applications needing incomplete real world knowledge.

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