scholarly journals Application of the «ideal point» method and account of risks when choosing the best projects

2019 ◽  
Author(s):  
Valerii Aleksandrovich Zhuravlev ◽  
Keyword(s):  
Ideal Point ◽  
Point Method ◽  
The Ideal

scholarly journals A Novel Model of the Ideal Point Method Coupled with Objective and Subjective Weighting Method for Evaluation of Surrounding Rock Stability

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Yingchao Wang ◽  
Ning Zhao ◽  
Hongwen Jing ◽  
Bo Meng ◽  
Xin Yin
Keyword(s):  
Present Model ◽  
Ideal Point ◽  
Surrounding Rock ◽  
Point Method ◽  
Good Prospect ◽  
Weighting Method ◽  
Rock Classification ◽  
Rock Stability ◽  
The Ideal

The classification of surrounding rock stability is the critical problem in tunneling engineering. In order to decrease engineering disasters, the surrounding rock stability should be accurately evaluated. The ideal point method is applied to the classification of surrounding rock stability. Considering the complexity of surrounding rock classification, some factors such as rock uniaxial compressive strengthen, integrality coefficient of rock mass, the angle between tunnel axis and the main joint, joints condition, and seepage measurement of groundwater are selected as evaluation indices. The weight coefficients of these evaluation indices are determined by the objective and subjective weighting method, consisting with the delphi method and the information entropy theory. The objective and subjective weighting method is exact and reliable to determine the weights of evaluation indices, considering not only the expert’s experiences, but also objectivity of the field test data. A new composite model is established for evaluating the surrounding rock stability based on the ideal point method and the objective and subjective weighting method. The present model is applied to Beigu mountain tunnel in Jiangsu province, China. The result is in good agreement with practical situation of surrounding rock, which proves that the ideal point method used to classify the surrounding rock in tunnels is reasonable and effective. The present model is simple and has very strong operability, which possesses a good prospect of engineering application.

Decision-making on choosing the type of strengthening of drains and upholstery ducts based on the ideal point method

2021 ◽  
pp. 57-62
Author(s):  
V. A. Podverbnyy ◽  
◽  
A. A. Perelygina ◽  
Keyword(s):  
Ideal Point ◽  
Point Method ◽  
Construction Work ◽  
Special Equipment ◽  
Environmental Friendliness ◽  
Advantages And Disadvantages ◽  
Source Data ◽  
Calculation Results ◽  
Resource Intensity ◽  
The Ideal

Modern materials and technologies for strengthening drainage and upland ditches, their advantages and disadvantages are considered. When choosing the type of reinforcement, the railway design engineer must compare the options for the types of reinforcement of ditches in terms of various criteria: reducing labour and resource intensity, duration of construction work, increasing durability, improving environmental friendliness, the need for special equipment, and others. An ideal point method is proposed for solving a multicriteria deterministic problem of choosing the type of ditch reinforcement. A prototype program of the decision support system for choosing the type of reinforcement using the ideal point method has been developed. The program contains four areas: the source data area; the calculation area; the guide to the types of ditch reinforcement, which separately identifies innovative types of ditch reinforcement; the area of calculation results and recommendations. With the help of the program, the test problem of choosing the type of reinforcement is solved. Of the three alternatives, a concrete roadbed is recommended-an innovative strengthening of the ditch.

scholarly journals METHODS OF SYNTHESIS OF TECHNICAL AND ORGANISATIONAL-TECHNOLOGICAL SOLUTIONS IN CONSTRUCTION/SYNTHESEMETHODEN DER TECHNISCHEN UND ORGANISATORISCH-TECHNOLOGISCHEN LÖSUNGEN IM BAUWESEN

1999 ◽  
Vol 5 (4) ◽  
pp. 285-289
Author(s):  
Edmundas K. Zavadskas ◽  
Leonas Ustinovičius
Keyword(s):  
Ideal Point ◽  
Real Life ◽  
Entropy Method ◽  
Point Method ◽  
Selection Problems ◽  
Methods Of Synthesis ◽  
A Priority ◽  
The One ◽  
Selection Of ◽  
The Ideal

Quite frequently one has to solve variant synthesis multicriterial selection problems in construction. These problems consist of many technical-organisational solutions interacting with each other. The solution of each problem can be made of two or more alternatives. In each step k according to j, the effectiveness criterion is selected from variants i. Using the entropy method the weights of effectiveness indices in each step are calculated. By the criterion k(1) the effectiveness of variants in each step is determined. From the row of priorities obtained the first two variants are selected and they are repeatedly calculated by the same methods. The selection of variants (branches) synthesised is made by the criterion Ωs (2). A priority row of variants is determined according to the rule that the greater value of Ωsmeans the best variant (3). The second algorithm is used when there are more than two variants in the steps of problem. A joint matrix between separate steps of solutions is determined. Weights of criteria for each step are determined using the entropy method. It is necessary to regulate the values of importance according the number of variants. The weights obtained by the method of entropy are multiplied by the coefficient considering the number of alternatives analysed (4). The final valuation of branch is obtained according to the formula No 5. The best synthesis result is the one, having the largest Ωs value. The values of criteria effectiveness of each step of each net program branch are summed, when priorities are determined using the same coefficients of effectiveness. The weights are summed using formula 6. It is possible to calculate the priorities of alternatives using the ideal point method. The methods mentioned above were used to solve real life construction problems.

Rockburst prediction and classification based on the ideal-point method of information theory

2018 ◽  
Vol 81 ◽  
pp. 382-390 ◽  
Author(s):  
Chen Xu ◽  
Xiaoli Liu ◽  
Enzhi Wang ◽  
Yanlong Zheng ◽  
Sijing Wang
Keyword(s):  
Information Theory ◽  
Ideal Point ◽  
Point Method ◽  
The Ideal

scholarly journals Risk Assessment of Water Inrush in Karst Tunnels Based on the Ideal Point Method

2018 ◽  
Vol 28 (2) ◽  
pp. 901-911 ◽  
Author(s):  
Yingchao Wang ◽  
C. Guney Olgun ◽  
Linbing Wang ◽  
Bo Meng
Keyword(s):  
Risk Assessment ◽  
Water Inrush ◽  
Ideal Point ◽  
Point Method ◽  
The Ideal

Multi-criteria optimization by the «ideal point» method of raw material composition for composite blank manufacturing

2019 ◽  
pp. 49-56
Author(s):  
V. G. Titov ◽  
A. G. Zalazinsky ◽  
D. I. Kryuchkov ◽  
A. V. Nesterenko
Keyword(s):  
Relative Density ◽  
Low Cost ◽  
Ideal Point ◽  
Point Method ◽  
Raw Material ◽  
Industrial Plant ◽  
Charge Composition ◽  
Axially Symmetric ◽  
Optimization Criteria ◽  
The Ideal

The paper provides the results of an experimental study into the properties of compressed and sintered compacts of the following powders: VT-22 high-strength titanium alloy manufactured by plasma spraying of industrial titanium production waste, PTM-1 grade titanium manufactured by the hydrate-calcium method, and PV-N70Yu30 nickel-aluminum alloy. It was shown that charge composition selection for composite blank manufacturing is connected with the need to ensure optimization of several competing target functions. The relative density and strength of compacts under axial compression after sintering, as well as charge cost were chosen as optimization criteria. The problem was set and the method was proposed to select an optimal charge composition providing the necessary values of density, strength, as well as relatively low cost of products. The problem of multi-criteria optimization was solved based on the ≪ideal point≫ method. The results of calculations were compared with the previously obtained solutions of the problem under consideration using the Pareto method, linear programming, and generalized criterion. It was shown that different methods of multi-criteria optimization lead to significantly different results. In this case, the ≪ideal point≫ method gives the minimum discrepancy between the experimental and model values of the optimization criteria selected. The results of this study were used to create an expert system for the multi-criteria optimization of composite manufacturing processes. The charge composition obtained by the «ideal point» method was transferred to an industrial plant where an axially symmetric part was manufactured. The ultimate strength and relative density of the manufactured part material were in conformity with the predicted values.

scholarly journals Joint Representation Learning of Legislator and Legislation for Roll Call Prediction

2020 ◽  
Author(s):  
Yuqiao Yang ◽  
Xiaoqiang Lin ◽  
Geng Lin ◽  
Zengfeng Huang ◽  
Changjian Jiang ◽  
...  
Keyword(s):  
Neural Networks ◽  
State Of The Art ◽  
Ideal Point ◽  
Representation Learning ◽  
Context Information ◽  
Roll Call ◽  
Triplet Loss ◽  
Joint Representation ◽  
Narrative Description ◽  
The Ideal

In this paper, we explore to learn representations of legislation and legislator for the prediction of roll call results. The most popular approach for this topic is named the ideal point model that relies on historical voting information for representation learning of legislators. It largely ignores the context information of the legislative data. We, therefore, propose to incorporate context information to learn dense representations for both legislators and legislation. For legislators, we incorporate relations among them via graph convolutional neural networks (GCN) for their representation learning. For legislation, we utilize its narrative description via recurrent neural networks (RNN) for representation learning. In order to align two kinds of representations in the same vector space, we introduce a triplet loss for the joint training. Experimental results on a self-constructed dataset show the effectiveness of our model for roll call results prediction compared to some state-of-the-art baselines.

Optimierung der Revitalisierungskosten von Bestandsobjekten

Bauingenieur ◽  
2020 ◽  
Vol 95 (11) ◽  
pp. A 28-A 32
Author(s):  
Dominik Krawczyk ◽  
Pawel Nowak
Keyword(s):  
Ideal Point ◽  
Point Method

Der Artikel beschreibt das Vorgehen bei der Bewertung von fünf möglichen Varianten zur Senkung der Baukosten, die im Zusammenhang mit der Revitalisierung und Rekonstruktion eines historischen Gebäudes als Einkaufszentrum betrachtet wurden. Diese Varianten wurden nach dem Kriterium Baukosten als einem quantitativen Kriterium sowie nach den qualitativen Kriterien Visueller Eindruck, Funktionalität sowie Planungsflexibilität bewertet. Aufgrund der komplizierten qualitativen Bewertungen durch Experten wurde eine der Methoden der multikriteriellen Optimierung eingesetzt, welche nach Ansicht der Autoren im Rahmen von Entscheidungsprozessen in Bauinvestitionen selten zur Anwendung kommen. Im vorliegenden Fall wurde die Ideal Point Method eingesetzt.

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