) To each classification index subsets transformation. Classification level knowledge, based on the afore mentioned domain is given, where q is better to classification index system. The knowledge was be an odd number so that we can have a middle expressed as production rule with a basic structure level. below: To quantify each indicator in of a certain ad to all categories classified by single in which, A is the production prerequisite, and B indicator is determined. The value of membership is a set of conclusions. Both A and B can generously function can be determined by using expert scoring be expressions composed by text, numbers, and method. So u we can have the single indicator fuzzy logical operators AND, OR, and NOT. matrix . Here in our research, the prerequisite A led by IF The fuzzy weight vector of every indicators of production rule was the classification index of in ,, a ) the corresponding membership function. Before performing the synthesis process, When single indicator was used in classification, generated. Such as the Single Factor in Fig.1, four of (2) its specific indicators were empty, single emotion,

2015 ◽  
pp. 223-226
Keyword(s):  
Basic Structure ◽  
Weight Vector ◽  
Production Rule ◽  
Synthesis Process ◽  
Single Factor ◽  
Logical Operators ◽  
Single Indicator ◽  
Knowledge Based ◽  
Fuzzy Weight ◽  
Classification Index

scholarly journals Two Approximation Models of Fuzzy Weight Vector from a Comparison Matrix

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Tomoe Entani
Keyword(s):  
Analytic Hierarchy Process ◽  
Weight Vector ◽  
Analytic Hierarchy ◽  
Lower Approximation ◽  
Comparison Matrix ◽  
Fuzzy Weight ◽  
Interval Weight ◽  
Hierarchy Process ◽  
Interval Comparison ◽  
Approximation Models

In this study, our uncertain judgment on multiple items is denoted as a fuzzy weight vector. Its membership function is estimated from more than one interval weight vector. The interval weight vector is obtained from a crisp/interval comparison matrix by Interval Analytic Hierarchy Process (AHP). We redefine it as a closure of the crisp weight vectors which approximate the comparison matrix. The intuitively given comparison matrix is often imperfect so that there could be various approaches to approximate it. We propose two of them: upper and lower approximation models. The former is based on weight possibility and the weight vector with it includes the comparison matrix. The latter is based on comparison possibility and the comparison matrix with it includes the weight vector.

A KNOWLEDGE-BASED APPROACH FOR THE SPECIFICATION AND ANALYSIS OF REAL-TIME SOFTWARE SYSTEMS

1992 ◽  
Vol 01 (01) ◽  
pp. 1-35 ◽  
Author(s):  
JEFFREY J. J.-P. TSAI ◽  
HUNG-CHIN JANG
Keyword(s):  
Real Time ◽  
Basic Structure ◽  
Software Systems ◽  
Real Time Systems ◽  
Production Rules ◽  
First Order ◽  
Knowledge Based ◽  
Representation Techniques ◽  
Time Systems ◽  
Specification Analysis

FRORL (Frame-and-Rule Oriented Requirements specification Language) was proposed to exploit knowledge representation techniques as an aid in the specification, analysis, and development of a software system. With the real-time software systems as our target systems, the merely mechanisms provided by FRORL cannot meet the specific demands on real-time software systems. As a result, in this paper, we propose RT-FRORL (Real-Time FRORL) as an extension of FRORL. RT-FRORL not only inherits FRORL's basic structure but also includes those language constructs needed to support the specification of real-time systems. The syntax of RT-FRORL is based on frames and production rules. The semantics of RT-FRORL is defined through the integration of first order logic and temporal logic extension. Using RT-FRORL, concurrent and absolute time properties of real-time systems can be easily specified.

scholarly journals Quality prediction and control of cable harness wiring using extension theory and a backpropagation neural network

2020 ◽  
Vol 12 (5) ◽  
pp. 168781402092310
Author(s):  
Falin Wang ◽  
Zhinong Li ◽  
Xuepeng Guo ◽  
Wenhe Liao
Keyword(s):  
Neural Network ◽  
Weight Vector ◽  
Extension Theory ◽  
Quality Prediction ◽  
Entropy Weight ◽  
Cable Harness ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Fuzzy Weight ◽  
Factor Set

Given that the cable harness wiring quality (CHWQ) of complex mechatronic products is affected by multiple factors and it is difficult to solve the resulting control problems, this paper proposes a quality prediction method for cable harness wiring using extension theory and a backpropagation (BP) neural network. First, a quality prediction framework is designed based on the factors influencing the composition and analysis of the CHWQ. Second, we establish a quality evaluation index system based on five aspects and design a first-level factor set and a second-level factor set. Based on the single factor index for various parameters and evaluation of data after dimensionless parameter processing, we use extension theory and the entropy weight method to determine the membership matrix and the fuzzy weight vector for the first-level evaluation. Additionally, the single factor and the synthetic fuzzy weight vector are determined using the entropy weight method and the analytic hierarchy process (AHP), respectively, and quality grade evaluation based on the fuzzy synthetic evaluation (FSE) method is completed. Finally, we use a three-layer feedforward neural network to predict the quality status of a specific phased array radar system. The results demonstrate that the proposed method can produce increased prediction accuracy.

scholarly journals Decision-Maker’s Risk Preference Based Intuitionistic Fuzzy Multiattribute Decision-Making and Its Application in Robot Enterprises Investment

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Liandong Zhou ◽  
Qifeng Wang
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
Weight Vector ◽  
Multiple Attribute Decision Making ◽  
Decision Makers ◽  
Research Papers ◽  
Intuitionistic Fuzzy Numbers ◽  
Intuitionistic Fuzzy ◽  
Multiple Attribute ◽  
Fuzzy Weight

At present, the utilization of hesitation information of intuitionistic fuzzy numbers is insufficient in many methods which were proposed to solve the intuitionistic fuzzy multiple attribute decision-making problems. And also there exist some flaws in the intuitionistic fuzzy weight vector constructions in many research papers. In order to solve these insufficiencies, this paper defined three construction equations of weight vectors based on the risk preferences of decision-makers. Then we developed an intuitionistic fuzzy dependent hybrid weighted operator (IFDHW) and proposed an intuitionistic fuzzy multiattribute decision-making method. Finally, the effectiveness of this method is verified by a robot manufacturing investment example.

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

scholarly journals New Perspectives Related to the Bioluminescent System in Dinoflagellates: Pyrocystis lunula, a Case Study

2020 ◽  
Vol 21 (5) ◽  
pp. 1784
Author(s):  
Carlos Fajardo ◽  
Marcos De Donato ◽  
Hectorina Rodulfo ◽  
Gonzalo Martinez-Rodriguez ◽  
Benjamin Costas ◽  
...  
Keyword(s):  
Model Organism ◽  
Basic Structure ◽  
Synthesis Process ◽  
Glutathione S Transferase ◽  
Sequence Structure ◽  
Evolutionary Pattern ◽  
Complex Process ◽  
Pyrocystis Lunula

Pyrocystis lunula is considered a model organism due to its bioluminescence capacity linked to circadian rhythms. The mechanisms underlying the bioluminescent phenomenon have been well characterized in dinoflagellates; however, there are still some aspects that remain an enigma. Such is the case of the presence and diversity of the luciferin-binding protein (LBP), as well as the synthesis process of luciferin. Here we carry out a review of the literature in relation to the molecular players responsible for bioluminescence in dinoflagellates, with particular interest in P. lunula. We also carried out a phylogenetic analysis of the conservation of protein sequence, structure and evolutionary pattern of these key players. The basic structure of the luciferase (LCF) is quite conserved among the sequences reported to date for dinoflagellate species, but not in the case of the LBP, which has proven to be more variable in terms of sequence and structure. In the case of luciferin, its synthesis has been shown to be complex process with more than one metabolic pathway involved. The glutathione S-transferase (GST) and the P630 or blue compound, seem to be involved in this process. In the same way, various hypotheses regarding the role of bioluminescence in dinoflagellates are exposed.

An Intelligent Planning Environment for Automated Dimensional Inspection Using Coordinate Measuring Machines

1992 ◽  
Vol 114 (2) ◽  
pp. 222-230 ◽  
Author(s):  
Chia-Hsiang Menq ◽  
Hong-Tzong Yau ◽  
Ching-Li Wong
Keyword(s):  
Decision Making ◽  
Basic Structure ◽  
Inspection System ◽  
Coordinate Measuring Machines ◽  
Localization Algorithm ◽  
Sculptured Surfaces ◽  
Inspection Planning ◽  
Dimensional Inspection ◽  
Knowledge Based ◽  
Intelligent Planning

This paper presents a basic structure of an intelligent planning environment for automated dimensional inspection using coordinate measuring machines (CMMs). Three levels of automation technology, ranging from the facility automation to information and decision automation, are discussed. At the facility level, the operations of the CMMs are examined for the dimensional inspection of various manufactured objects. In this research the dimensional inspection of objects having complex and sculptured surfaces is emphasized. At the information level, a CAD-directed inspection system is implemented. The system is composed of three key elements: CAD/CMM inspection planning module, CAD model based localization algorithm, and comparative analysis module. In addition, the concept of inspection attributes is introduced. Inspection attributes are some pieces of information that are stored in the CAD database along with the design model for inspection application. Typical inspection attributes include functional tolerances and manufacturing capability. At the decision making level, an inspection planner is proposed in conjunction with the CAD directed inspection to provide links between the CAD/CMM system and inspection goal. The planner is a knowledge based system which utilizes artificial intelligence technologies to automate the decision making in inspection planning.

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