scholarly journals A qualitative assessment of strategies affecting adaptability in the post-divorce adaptation process: knowledge based on the experience of divorced women

2021 ◽  
Vol 20 (105) ◽  
pp. 1513-1534
Author(s):  
farahnaz jeloyari ◽  
somayeh kazemian ◽  
Ebrahim Naeimi ◽  
Abdolah Motamedi ◽  
◽  
...  
Keyword(s):  
Qualitative Assessment ◽  
Adaptation Process ◽  
Process Knowledge ◽  
Knowledge Based

Research on Mining Method of Process Knowledge Based on Ontology

2013 ◽  
Vol 401-403 ◽  
pp. 1470-1473
Author(s):  
Chun Fen Guo ◽  
Li Chen Zhuang
Keyword(s):  
Association Rule ◽  
Partial Correlation ◽  
Apriori Algorithm ◽  
Mining Method ◽  
Process Knowledge ◽  
Concept Model ◽  
Knowledge Based ◽  
Mining Algorithm ◽  
Cross Linker ◽  
Correlation Process

Making use of hierarchical structure clearly of concept model of ontology , on the basis of Apriori algorithm and introducing cross linker method, an mining algorithm of process knowledge of association rule is proposed based on ontology. To verify the feasibility of the algorithm, partial correlation process knowledge is dicovered by this algorithm.

Granular Computing and Human-Centricity in Computational Intelligence

2012 ◽  
pp. 13-27
Author(s):  
Witold Pedrycz
Keyword(s):  
Fuzzy Sets ◽  
Granular Computing ◽  
Knowledge Generation ◽  
Qualitative Assessment ◽  
Information Granules ◽  
Knowledge Based ◽  
Performance Indexes ◽  
Numeric Data ◽  
Type Information

Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity. This facet implies that the underlying processing supports non-numeric data inherently associated with the variable perception of humans. Systems that commonly become distributed and hierarchical, managing granular information in hierarchical and distributed architectures, is of growing interest, especially when invoking mechanisms of knowledge generation and knowledge sharing. The outstanding feature of human centricity of Granular Computing along with essential fuzzy set-based constructs constitutes the crux of this study. The author elaborates on some new directions of knowledge elicitation and quantification realized in the setting of fuzzy sets. With this regard, the paper concentrates on knowledge-based clustering. It is also emphasized that collaboration and reconciliation of locally available knowledge give rise to the concept of higher type information granules. Other interesting directions enhancing human centricity of computing with fuzzy sets deals with non-numeric semi-qualitative characterization of information granules, as well as inherent evolving capabilities of associated human-centric systems. The author discusses a suite of algorithms facilitating a qualitative assessment of fuzzy sets, formulates a series of associated optimization tasks guided by well-formulated performance indexes, and discusses the underlying essence of resulting solutions.

Granular Computing and Human-Centricity in Computational Intelligence

2012 ◽  
pp. 1721-1735
Author(s):  
Witold Pedrycz
Keyword(s):  
Fuzzy Sets ◽  
Granular Computing ◽  
Knowledge Generation ◽  
Qualitative Assessment ◽  
Information Granules ◽  
Knowledge Based ◽  
Performance Indexes ◽  
Numeric Data ◽  
Type Information

Information granules and ensuing Granular Computing offer interesting opportunities to endow processing with an important facet of human-centricity. This facet implies that the underlying processing supports non-numeric data inherently associated with the variable perception of humans. Systems that commonly become distributed and hierarchical, managing granular information in hierarchical and distributed architectures, is of growing interest, especially when invoking mechanisms of knowledge generation and knowledge sharing. The outstanding feature of human centricity of Granular Computing along with essential fuzzy set-based constructs constitutes the crux of this study. The author elaborates on some new directions of knowledge elicitation and quantification realized in the setting of fuzzy sets. With this regard, the paper concentrates on knowledge-based clustering. It is also emphasized that collaboration and reconciliation of locally available knowledge give rise to the concept of higher type information granules. Other interesting directions enhancing human centricity of computing with fuzzy sets deals with non-numeric semi-qualitative characterization of information granules, as well as inherent evolving capabilities of associated human-centric systems. The author discusses a suite of algorithms facilitating a qualitative assessment of fuzzy sets, formulates a series of associated optimization tasks guided by well-formulated performance indexes, and discusses the underlying essence of resulting solutions.

Development of a Knowledge Management System for the Automobile Industry Based on CAPP

2015 ◽  
Vol 775 ◽  
pp. 474-478
Author(s):  
Jia Kun Sun ◽  
Hui Hui Qiu ◽  
Chao Ying Yang
Keyword(s):  
Process Planning ◽  
Automobile Industry ◽  
Process Management ◽  
Process Knowledge ◽  
The Core ◽  
Knowledge Based ◽  
Whole Process ◽  
Task Modeling ◽  
Development Cycle ◽  
Planning Task

Process planning is the key sector for automobile industry enterprises to shorten product development cycle. By studying the expression method of process information and standardized description method of process knowledge based on MBD, the process knowledge base is established with the uniform representation model as the core, on this basis, the knowledge embedding method oriented to process planning task, modeling method of process planning wizard and process planning navigation technology is studied, the maintenance and application platform of the process knowledge for the automobile industry is established, and integrated with the existing CAPP system, to realize the whole-process management of processes knowledge, so as to provide the support for the optimization and improvement of the manufacturing process.

scholarly journals Research on the Method of Reusing Injection Process Knowledge Based on CBR

2021 ◽  
Vol 2025 (1) ◽  
pp. 012086
Author(s):  
Haowei Chen ◽  
Hongfei Zhan ◽  
Rui Wang ◽  
Junhe Yu
Keyword(s):  
Process Knowledge ◽  
Knowledge Based ◽  
Injection Process

scholarly journals Formulasi sistematika knowledge-based engineering untuk penanganan permasalahan proses

2018 ◽  
Vol 7 (1) ◽  
pp. 743
Author(s):  
Surahmad W Widodo ◽  
Yazid Bindar ◽  
P Praharso
Keyword(s):  
Equilibrium Model ◽  
Cfd Simulation ◽  
System Model ◽  
Molar Ratio ◽  
Synthesis Process ◽  
Urea Synthesis ◽  
Heuristic Knowledge ◽  
Process Knowledge ◽  
Knowledge Based System ◽  
Knowledge Based

Urea plant is a petrochemical plant considered as one of strategic industries in Indonesia. Knowledge is important asset for the company that should be managed well in order to give the optimal profit. Without the adequate knowledge to operate the process plant, the process problems tend to be solved by trial-error effort in the field with unknown result and can cause the losses for the company. With the knowledge-based system, the knowledge can be stored, organized can be accessed again to solve the process problem and minimize the trial-error losses in this thesis knowledge-based system formulation for process problem solving in urea synthesis process unit done by study the heuristic knowledge, study the urea synthesis equilibrium model, study the urea tray reactor with CFD simulation and study of development of process knowledge-based system model. Urea reaction equilibrium model used can explain the impact of temperature, NH3/C02 molar ratio and H2O/C02 molar ratio to the urea conversion. Calculation results of conversion and reactor outlet composition show the agreement with the reactor data. Results of CFD simulation show that the new configuration of reactor tray give the better mixing effect of liquid and gas phase than the conventional tray. Heuristic knowledge based on the experience and the knowledge based on process model become the knowledge base for development of knowledge-based system model for process problem solving.Keywords: knowledge-based, process knowledge, heuristic, simulation, CFD, urea reactor AbstrakPabrik pupuk adalah pabrik petrokimia yang termasuk salah satu industri strategis nasional. Pengetahuan merupakan aset penting bagi perusahaan yang harus dikelola sebaik-baiknya agar memberikan manfaat dan keuntungan yang optimal. Tanpa pengetahuan yang cukup dalam mengoperasikan pabrik, maka masalah proses yang dihadapi cenderung diselesaikan dengan percobaan di lapangan yang hasilnya tidak pasti dan mengakibatkan kerugian bagi perusahaan. Dengan sistem berbasis pengetahuan, maka pengetahuan disimpan, terorganisasi dan dapat diakses kembali untuk menyelesaian masalah proses, serta tindakan coba-coba yang menghasi/kan kesalahan dapat diminimalkan. Dalam tesis ini formulasi sistem berbasis pengetahuan untuk penanganan permasalahan proses pada unit reaktor sintesis urea dilakukan dengan melakukan kajian pengetahuan heuristis, kajian model kesetimbangan reaksi sintesis urea, kajian simulasi CFD tray reaktor, serta kajian model pengembangan sistem berbasis pengetahuan proses. Model kesetimbangan yang digunakan dapat menjelaskan pengaruh suhu, rasio NH3/CO2 dan rasio H20/C02 terhadap konversi. Hasil perhitungan untuk konversi dan komposisi keluaran reaktor menunjukkan kesesuaian dengan data rancangan pabrik. Hasil kajian simulasi CFD menunjukkan bahwa dengan konjigurasi tray baru dihasilkan efek pencampuran fasa cair dan gas yang lebih baik daripada dengan tray konvensional. Pengetahuan heuristis dari pengalaman dan pengetahuan berdasarkan model proses menjadi basis pengetahuan yang dikembangkan sebagai model sistem berbasis pengetahuan untuk menyelesaikan masalah proses.Kata Kunci: basis pengetahuan, pengetahuan proses, pengetahuan heuristis, simulasi, CFD, reaktor urea

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