A Psychological Evaluation Method for construction of a Sound Insulation Barrier Based on the Fuzzy Set Theory

To provide theoretical reference for owners to identify unbalanced bids, this paper aims to construct an identification method based on grey relational and fuzzy set theory. Firstly, to measure the closeness degree between bidding unit price from engineering’s estimated price, grey relational analysis theory is used to express the relationship between them. Secondly, a combined weight method determining all line items is calculated through integrating analytic hierarchy model and maximizing deviation method. Thirdly, based on fuzzy set theory, the membership degree and the fuzzy relation matrix are constructed, and then a fuzzy comprehensive identification method is established to identify unbalanced bidding. Fourthly, on the basis of fuzzy comprehensive identification method, the scoring set and total score vector are designed, and the rank of unbalanced bids is obtained by total score vector. Finally, a practical construction project bidding is stated to illustrate the effectiveness and practicability of the proposed method.

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A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams

Mathematical Problems in Engineering ◽

10.1155/2016/5795604 ◽

2016 ◽

Vol 2016 ◽

pp. 1-8 ◽

Cited By ~ 5

Author(s):

Dingjun Chen ◽

Shaoquan Ni ◽

Chang’an Xu ◽

Hongxia Lv ◽

Keyun Qin

Keyword(s):

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

High Speed ◽

Evaluation Method ◽

Attribute Reduction ◽

Track Maintenance ◽

Study Results ◽

Train Operation ◽

Overall Evaluation

This paper proposes a method of high-speed railway train operation diagram evaluation based on preferences of locomotive operation, track maintenance, S & C, vehicles and other railway departments, and customer preferences. The application of rough set-based attribute reduction obtains the important relative indicators by eliminating excessive and redundant evaluation indicators. Soft fuzzy set theory is introduced for the overall evaluation of train operation diagrams. Each expert utilizes a set of indicators during evaluation based on personal preference. In addition, soft fuzzy set theory is applied to integrate the information obtained via expert evaluation in order to obtain an overall evaluation. The proposed method was validated by a case study. Results demonstrate that the proposed method flexibly expresses the subjective judgments of experts while effectively and reasonably handling the uncertainty of information, which is consistent with the judgment process of humans. The proposed method is also applicable to the evaluation of train operation schemes which consist of multiple diagrams.

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Evaluate Engineering Project Risk Based on Fuzzy Set

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.368-373.2216 ◽

2011 ◽

Vol 368-373 ◽

pp. 2216-2219

Author(s):

Wei Zhang ◽

Leng Fei Sun

Keyword(s):

Risk Factors ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Risk Evaluation ◽

Evaluation Method ◽

Fuzzy Numbers ◽

Engineering Project ◽

Project Risk ◽

Engineering Projects

Engineering projects often face risks from technology, economy, nature, social and other aspects. Risk factors are of interdependence and interaction, so they are very difficult to be quantified. The paper describes a risk evaluation method for engineering projects based on fuzzy set theory which uses respective fuzzy numbers to evaluate the factors. The primary weights of factors and evaluation of alternatives are determined by applying fuzzy numbers. The results are consistent with the results calculated by conventional risk evaluation method. The research demonstrates that the method is objective and accurate, and is of an application value in the risk evaluation for engineering projects.

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