Engineering application of fuzzy evaluation based on comprehensive weight in the selection of geophysical prospecting methods

This paper presents a hierarchical fuzzy evaluation approach to product lifecycle sustainability assessment at conceptual design stages. The purpose is to advocate the emerging use of lifecycle engineering methods in support of evaluation and selection of design alternatives for sustainable product development. A fuzzy evaluation model is developed with a hierarchical criteria structure to represent different sustainability considerations in the technical, economic and environmental dimensions. Using the imprecise and uncertain early-stage product information, each design option is assessed by the model with respect to the hierarchical evaluation criteria. Lifecycle engineering methods, such as lifecycle assessment and lifecycle costing analysis, are applied to the generation of the evaluation criteria. This would provide designers with a more complete lifecycle view about the product’s sustainability potentials to support decision-making in evaluation and selection of conceptual designs. The proposed approach has been implemented in a sustainable design decision-support software prototype. Illustrative examples are discussed in the paper to demonstrate the use of the approach and the prototype in conceptual design selection of a consumer product.

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A New Integrated Fuzzy Approach to Selecting the Best Solution for Business Balance of Passenger Rail Operator: Fuzzy PIPRECIA-Fuzzy EDAS Model

Symmetry ◽

10.3390/sym12050743 ◽

2020 ◽

Vol 12 (5) ◽

pp. 743 ◽

Cited By ~ 4

Author(s):

Slavko Vesković ◽

Željko Stević ◽

Darjan Karabašević ◽

Snježana Rajilić ◽

Sanjin Milinković ◽

...

Keyword(s):

Fuzzy Model ◽

Fuzzy Evaluation ◽

Analytic Hierarchy ◽

Ticket Sales ◽

Passenger Traffic ◽

Passenger Rail ◽

The Republic ◽

Criteria Importance ◽

Validation Tests ◽

Selection Of

The analysis of operations of the passenger traffic operator in the Republic of Srpska (RS) showed that the volume of passenger transport has, for the last fifteen years, been in constant decline. It is of particular importance that the operator has, year after year, recorded a negative balance of business. The way out of the current unfavorable situation in the sector of passenger traffic is based on the application of Public Service Obligation (PSO) based on the Regulation 1370/2007. In order to solve the problems, seven realistically possible variants have been identified. This paper defines the criteria for selecting the best variant, as well as a new integrated fuzzy model for the selection of the best variant that will enable the operator to make a profit. To define the weights of criteria in this paper, we have used the fuzzy PIvot Pairwise RElative Criteria Importance Assessment (F-PIPRECIA) method, while for ranking and selection of the best variant, we have used the Fuzzy Evaluation based on Distance from Average Solution (F-EDAS) method. Results show that the seventh variant: “Increase in revenue from ticket sales and PSO services and reduction in costs“ is the best solution in current conditions. Validation tests are performed with different scenarios and approaches and show that the model is stable. A validity test was created consisting of variations in the significance of model input parameters, testing of reverse rank, applying the fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (F-MARCOS), fuzzy Simple Additive Weighing (F-SAW) method, and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS). As a part of the validation tests, Spearman’s coefficient of correlation (SCC) in some scenarios is performed and weights of the criteria have been obtained using the Fuzzy Analytic Hierarchy Process (F-AHP) and Full Consistency Method (FUCOM).

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Numerical Study on Explosion Cutting Process of PMMA Plate and Key Factors Influence on Cutting Performance

Volume 13: Design, Reliability, Safety, and Risk ◽

10.1115/imece2018-86793 ◽

2018 ◽

Author(s):

Lei Ge ◽

Yantao Wang ◽

Huipeng Hu ◽

Lijun Li ◽

Yiben Zhang

Keyword(s):

Numerical Study ◽

Engineering Application ◽

Material Model ◽

Cutting Performance ◽

Cutting Process ◽

Transient Pressure ◽

Key Factors ◽

Explicit Solver ◽

The Relationship ◽

Selection Of

Polymethylmethacrylate (PMMA) has been widely utilized to manufacture the covers of aircraft cockpits, naval vessels, car windows and so on, due to their high transmittance, low density, easy processing formability, high corrosion resistance and excellent mechanical properties. Under special conditions such as ejection lifesaving, the PMMA plate needs to be split precisely by explosion cutting technology. Hence, an accurate numerical simulation of PMMA structures is significantly important in engineering application. This paper aims to study the cutting behavior of PMMA plate numerically and investigate the influencing factors on cutting performance of PMMA plates. First of all, the simulation of explosion cutting process of PMMA plate is carried out by a non-linear explicit solver in LS-DYNA software using the fluid-solid coupling method. Jones-Wilkins-Lee (JWL) equation of state is used to simulate the relationship between the transient pressure and specific volume of explosives during explosion. The material model considering failure behaviors is used in the simulation. Additionally, the influence of explosive dosage as well as explosive type on the cutting performance of PMMA plate is investigated. Furthermore, the effect of PMMA geometry size on cutting performance is discussed. This study contributes to the knowledge for the design of PMMA structures which needs explosion cutting and the selection of explosive dosage and explosive type.

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Superior Research for Selection of Bracing Structure of Deep Pit Foundation Based on Fussy Theory

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.838-841.214 ◽

2013 ◽

Vol 838-841 ◽

pp. 214-218

Author(s):

Dong Li

Keyword(s):

General Model ◽

Engineering Application ◽

Hard Work ◽

Deep Foundation ◽

Scientific Methods ◽

Deep Pit ◽

Practical Engineering ◽

Fuzzy Math ◽

Selection Of

Before the construction of the deep pit foundation, we must choose a project. Although there aren't many projects to be chosen as usual, we often feel that it's a very complex and hard work. Actually there is no a mature and general model to use. In this paper, the author attempted to use the theory of fuzzy math to establish a former to select the best project, meanwhile provided two ways to solve how to quantify the qualitative targets and how to determine the weights of the targets. Finally they were confirmed to be useful and successful by a practical engineering application. It is worthily to popularize these scientific methods in construction and management in deep foundation pits.

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Application of the Combinatorial Inspection Method on the Buried Steel Pipelines in China

Volume 2: Integrity Management; Poster Session; Student Paper Competition ◽

10.1115/ipc2006-10027 ◽

2006 ◽

Author(s):

Bing Liu ◽

Renyang He ◽

Hong Zhang ◽

Jian Shuai

Keyword(s):

Engineering Application ◽

Proper Selection ◽

Inspection Method ◽

Know How ◽

Direct Assessment ◽

High Efficient ◽

External Corrosion ◽

Engineering Practices ◽

Inspection Techniques ◽

Selection Of

In general, the pipeline external corrosion direct assessment should be synchronously done by two or more inspection tools. Hence, it is very important to know how to develop the high-efficient and accurate combinatorial inspection techniques for engineering application. In this paper, the advantages, disadvantages and adaptabilities of the existing techniques and instruments are reviewed. Considering the technical difficulties in Chinese engineering practices, five different combinatorial inspection techniques were then brought forward. The proper selection of the combinational inspection technique can be determined by the inspection aim, servicing environment and type of the pipeline, soil, and so on. However, it should be noted that each combinatorial inspection technique can be used most of the time with some demerits. Engineering application showed that the proposed techniques can be directly and efficiently used to assess the pipeline external corrosion.

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Chilean Structural Design Guide for Low-Volume Roads

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1819b-39 ◽

2003 ◽

Vol 1819 (1) ◽

pp. 306-313 ◽

Cited By ~ 2

Author(s):

Guillermo Thenoux ◽

Alvaro González ◽

Felipe Halles

Keyword(s):

South Africa ◽

Structural Design ◽

Engineering Application ◽

Climate Conditions ◽

Design Charts ◽

Low Volume Roads ◽

Mechanistic Analysis ◽

Design Guide ◽

Low Volume ◽

Selection Of

The practical and theoretical principles used for development of the Chilean Structural Design Guide for Low-Volume Roads 2002 and the guide’s conceptual model and hypotheses are presented. The design guide is a simplified methodology for selection of different pavement structure alternatives for a variety of conditions (traffic, soil support capacity, and climate). The design guide provides solutions for four traffic ranges, six ranges of soil support capacity, and three climate conditions (dry, normal, and saturated). The design charts contain more than 150 solutions. Pavement structural design was solved by mechanistic analysis with the BISAR computer program and fatigue models developed in South Africa. The design guide may be considered an engineering application with upto- date research tools and results.

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Application Research of Orthogonal Analysis for Components Selection of Heat-Resistant Concrete

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1015.72 ◽

2014 ◽

Vol 1015 ◽

pp. 72-76

Author(s):

Xing Wei Xu ◽

Ji Yao

Keyword(s):

Raw Materials ◽

Engineering Application ◽

Application Research ◽

Range Analysis ◽

Heat Resistant ◽

Technical Requirements ◽

Orthogonal Analysis ◽

The Cost ◽

A Company ◽

Selection Of

Combined with the heat-resistant concrete needed for a company combustor, based on the availability of local raw materials, the orthogonal test was used, then by the variance analysis and range analysis, the components of the heat-resistant concrete which could meet the technical requirements of the project were selected. Engineering application results showed: the components of the concrete could meet technical indicators for the engineering application, and effectively reduced the cost of production of heat-resistant concrete.

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Selection of Soil Models and Parameters for Geotechnical Engineering Application

Soil Constitutive Models ◽

10.1061/40771(169)4 ◽

2005 ◽

Cited By ~ 36

Author(s):

Ronald B. J. Brinkgreve

Keyword(s):

Geotechnical Engineering ◽

Engineering Application ◽

Selection Of

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Fuzzy Evaluation of Pharmacokinetic Models

Computational Intelligence and Neuroscience ◽

10.1155/2018/1983897 ◽

2018 ◽

Vol 2018 ◽

pp. 1-10

Author(s):

Carlos Sepúlveda ◽

Oscar Montiel ◽

José M. Cornejo Bravo ◽

Roberto Sepúlveda

Keyword(s):

Human Error ◽

Evaluation Criteria ◽

Multiple Criteria Decision Making ◽

Population Pharmacokinetic ◽

Fuzzy Evaluation ◽

Mixed Effect ◽

Population Pharmacokinetic Study ◽

Nonlinear Mixed Effect Model ◽

Poppk Model ◽

Selection Of

Population pharmacokinetic (PopPK) models allow researchers to predict and analyze drug behavior in a population of individuals and to quantify the different sources of variability among these individuals. In the development of PopPK models, the most frequently used method is the nonlinear mixed effect model (NLME). However, once the PopPK model has been developed, it is necessary to determine if the selected model is the best one of the developed models during the population pharmacokinetic study, and this sometimes becomes a multiple criteria decision making (MCDM) problem, and frequently, researchers use statistical evaluation criteria to choose the final PopPK model. The used evaluation criteria mentioned above entail big problems since the selection of the best model becomes susceptible to the human error mainly by misinterpretation of the results. To solve the previous problems, we introduce the development of a software robot that can automate the task of selecting the best PopPK model considering the knowledge of human expertise. The software robot is a fuzzy expert system that provides a method to systematically perform evaluations on a set of candidate PopPK models of commonly used statistical criteria. The presented results strengthen our hypothesis that the software robot can be successfully used to evaluate PopPK models ensuring the selection of the best PopPK model.

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