Evaluation Model of Conceptual Design Scheme Based on Engineering Fuzzy Set Theory

2012 ◽  
Vol 479-481 ◽  
pp. 1741-1744
Author(s):  
Hong Bin Miao
Keyword(s):  
Conceptual Design ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Evaluation Indexes ◽  
Model Based ◽  
Mechanical Products ◽  
Fuzzy Pattern

The evaluation of conceptual design schemes of mechanical products is an essential problem in the process of its conceptual design. At the stage of conceptual design, whether a correct and objective evaluation can be made on these design schemes will ultimately decide a good or bad performance, even its success or failure. The evaluation of conceptual design is a semi-structural decision-making that includes qualitative indexes and quantitative indexes, so it is difficult to select the best design concepts from a number of schemes. Therefore, an evaluation model based on the engineering fuzzy set theory is developed in this paper. First, the paper makes a detailed hierarchy analysis of evaluation indexes system and constructs some evaluation units according to evaluation indexes system. The whole evaluation of schemes is translated into a series of evaluation of basic units or comprehensive cells. Second, a multi-pole fuzzy pattern recognition model based on the engineering fuzzy set theory is established and the relative membership degree matrix can be obtained by the model, the matrix shows the order of excellence. An example is given for demonstration of its application. It shows that the method is feasible and reasonable.

Subjective Evaluation of Construction Machinery Cab’s Comfort Based on Fuzzy Set Theory

2011 ◽  
Vol 211-212 ◽  
pp. 600-604 ◽  
Author(s):  
Zhen Ya Wang ◽  
Xiao Yan Cong ◽  
Yan Dong Wang
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Subjective Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Construction Machinery ◽  
Evaluation Indexes ◽  
Comprehensive Evaluation Model

This paper applied Fuzzy set theory to the comfort evaluation of construction machinery cab. Fuzzy comprehensive evaluation model, evaluation indexes set and comment set are built up. A relatively objective conclusion to an excavator cab’s comfort is obtained by calculation. This study puts forward a strict accurate handling ways to solve fuzzy phenomena in subjective evaluation of construction machinery cab’s comfort.

The Comprehensive Post-Evaluation Based on the Engineering Fuzzy Set Theory of Navigation and Hydropower Junction

2012 ◽  
Vol 209-211 ◽  
pp. 1480-1484
Author(s):  
Liu Hong Chang ◽  
Chang Bo Jiang ◽  
Yuan Nan Long
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Evaluation Model ◽  
Environmental Benefits ◽  
Inland River ◽  
Post Evaluation ◽  
Fuzzy Pattern ◽  
Multi Level ◽  
Xiang River

Navigation and hydropower junction is a new model of inland river development. Such projects have significant economic, social and environmental benefits, and the corresponding indexes are quantitative and qualitative. Therefore the post-evaluation is a complex and multi-targeted semi-structural problem. The fuzzy set theory is applied on the comprehensive post-evaluation of navigation and hydropower junction of inland river. The recognition model based on multi-level fuzzy pattern and the semi-structured evaluation model are adopted. The evaluation is intuitive and comprehensive by combining the objective and quantitative assessments and the experience of the appraisers. And an example of Xiang River is given to illustrate its feasibility and rationality.

Study on Stability of Rock at Reservoir Banks Slop Based on AHP

2012 ◽  
Vol 204-208 ◽  
pp. 2309-2317 ◽  
Author(s):  
Zhi Jun Zhou ◽  
Han Liang ◽  
Xiao Dong Wang
Keyword(s):  
Slope Stability ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Engineering Practice ◽  
Stability Evaluation ◽  
Analytic Hierarchy ◽  
Evaluation Indexes ◽  
Comprehensive Evaluations ◽  
Research On Application

The paper aims to present the authors’ research on application of engineering fuzzy set theory analysis to reservoir ranks rock slop stability evaluation by using analytic hierarchy processing (AHP). Many methods, which used to analysis highway slope stability, are compared in the paper. On the basis of research on the general slope stability evaluation methods, lots of fuzzy factors of stability evaluation for highway slope are researched and fuzzy comparison matrix model is established. Correspondence relationship between mood operator and fuzzy value are determined. Evaluation indexes and grading standards are identified on the basis of engineering practice. The weight of every index is obtained by using analytic hierarchy processing and the method of Ridge-type distribution, which the method of combining with the bigger the more excellent and the smaller the more excellent. Engineering fuzzy set theory is used to make a comprehensive evaluations, overall evaluation of the highway slope stability is obtained according to the principle of maximum degree of subjection and the result of subjection degree vector. Slope stability evaluation of AN-SHAN Expressway is analyzed with analytical hierarchy process. Evaluation results provide a basis for the progress of the project, and the project carried out smoothly with the guidance of it. The results show that the model makes slope stability evaluation more comprehensive, scientific and rational.

Fuzzy Set Theory for Performance Evaluation in a Surgical Simulator

2007 ◽  
Vol 16 (6) ◽  
pp. 603-622 ◽  
Author(s):  
Ima Hajshirmohammadi ◽  
Shahram Payandeh
Keyword(s):  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
User Study ◽  
Performance Metrics ◽  
Objective Evaluation ◽  
Surgical Simulator ◽  
Surgical Simulators ◽  
Highly Nonlinear ◽  
Fuzzy Classifiers

Increasing interest in computer-based surgical simulators as time- and cost-efficient training tools has introduced a new problem: objective evaluation of surgical performance based on scoring metrics provided by surgical simulators. This project employed fuzzy set theory to design a classifier for performance of a subject training on a surgical simulator, using three categories: novice, intermediate, and expert. The MIST-VR simulator was used in a user study of 26 subjects with three different surgical skill levels: 8 experienced laparoscopic surgeons (experts), 8 surgical assistants (intermediates), and 10 nurses (novices). Subjects were required to perform four trials of a suturing task and a knot-tying task on the simulator. The performance data were then used to train and test two fuzzy classifiers for each task. The fuzzy classifier was able to classify the users of the system. The models presented a highly nonlinear relationship between the inputs (performance metrics) and output (fuzzy score) of the system, which may not be effectively captured with classical classification approaches. Fuzzy classifiers, however, can offer effective tools to handle the complexity and fuzziness of objective evaluation of surgical performances.

scholarly journals A (Basis for a) Philosophy of a Theory of Fuzzy Computation

2018 ◽  
Vol 20 (1) ◽  
pp. 181-201 ◽  
Author(s):  
Apostolos Syropoulos
Keyword(s):  
Mathematical Model ◽  
Turing Machine ◽  
Set Theory ◽  
Fuzzy Set ◽  
Fuzzy Set Theory ◽  
Computing Device ◽  
Models Of Computation ◽  
Model Based ◽  
Physical Objects ◽  
Linguistic Phenomenon

Abstract Vagueness is a linguistic phenomenon as well as a property of physical objects. Fuzzy set theory is a mathematical model of vagueness that has been used to define vague models of computation. The prominent model of vague computation is the fuzzy Turing machine. This conceptual computing device gives an idea of what computing under vagueness means, nevertheless, it is not the most natural model. Based on the properties of this and other models of vague computing, an attempt is made to formulate a basis for a philosophy of a theory of fuzzy computation.

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