The Alternative Net Model with the Fuzzy Decision Node for the Construction Projects Planning

Ibadov, Nabi

doi:10.2478/ace-2018-0013

Cited by 10 publications

(10 citation statements)

References 15 publications

(19 reference statements)

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“…The relationship of technical wear and damage was defined as fuzzy relational equations [8][9][10][11]14,[39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54]. In these equations, maximal cause-effect solutions based on Sanchez α-compositions [12] and minimal solutions using Kaufman σ-compositions [13] were determined.…”

Section: Discussion and Summarymentioning

confidence: 99%

“…a fuzzy set of damage to building elements B ⊆ U: U = {(µU(u), u)}, ∀ u∈ U. With the use of conventional (non-fuzzy) sets, certain strictly defined properties of theoretical and observed states were adequately expressed, and with the use of the (non-fuzzy) relation, interrelationships between the variables of these states, if they existed, were defined [39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54].…”

Section: Technical Damage and Wearmentioning

confidence: 99%

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Fuzzy Relations Matrixes of Damages and Technical Wear Related to Apartment Houses

Konior

Stachoń

2021

Applied Sciences

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The research presented in this article was conducted on a representative and purposefully selected sample of 102 residential buildings that were erected in the second half of the nineteenth and early twentieth centuries in the downtown district of Wroclaw (Poland). The degree of the technical wear of an old residential building is determined by the conditions of its maintenance and operation. The diagnosis of the impact of the maintenance of residential buildings on the degree of their technical wear was carried out using quantitative methods in the categories of fuzzy sets and also by using the authors’ own models created in fuzzy conditions. It was proved that the expression of the operational state of a building, considered as the process that plays the greatest role in its accelerated destruction, is mechanical damage to the internal structure of its elements. This damage is determined in the categories of fuzzy sets and has a high frequency and a cumulative effect of occurrence, which are characteristic for buildings in satisfactory and average maintenance conditions. The use of simple operations in fuzzy set calculus enabled the impact of elementary damage that occurs with a specific frequency, as well as the measure of its correlation on the observed technical wear of building elements to be considered. As a result, it was possible to identify the elementary damage that determines the degree of the technical wear of a building element. For each of the selected building elements, the maximal and minimal fuzzy relational equations (damage and technical wear) were determined. Their solutions were given in the form of clear relational matrixes that constitute big data arrays. They define the domain and range of the maximal and minimal fuzzy relations, the height of the fuzzy relations, their differences, and the place of their occurrence between the maximal and minimal dependencies.

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Section: Discussion and Summarymentioning

confidence: 99%

Section: Technical Damage and Wearmentioning

confidence: 99%

Fuzzy Relations Matrixes of Damages and Technical Wear Related to Apartment Houses

Konior

Stachoń

2021

Applied Sciences

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“…Therefore, the research led towards looking at the problem from this angle, which allowed the description of naturally qualitative (immeasurable) variables and the determination of existing relations between them in fuzzy set categories [15,[25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The advantages of fuzzy theory made it possible to describe the defects, representing three middle states (II, III, IV) of conditions of the building elements' maintenance, in a clear quantitative (measurable) aspect.…”

Section: Research Problemmentioning

confidence: 99%

“…A number of works by Nowogońska [16][17][18][19][20] were used in the methodical approach to the technical assessment of tenement houses, and the fuzzy calculus presented in the publications of Plebankiewicz, Wieczorek and Zima [21][22][23][24][25][26] was used in the assessment of the whole service life of a building object. The works of Ibadov [27][28][29][30] and other authors [31][32][33][34][35][36][37][38][39], which concerned the construction investment process with the fuzzy phase, allowed for the practical application of uncertain and subjective events when determining the degree of damage to the tested tenement houses.…”

Section: Introduction 1source Literaturementioning

confidence: 99%

Damage and Technical Wear of Tenement Houses in Fuzzy Set Categories

2021

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The results and conclusions of the research presented in the article concern the topic of the technical maintenance and wear of traditionally erected residential buildings. The cause and effect relations between the occurrence of damage to the elements of tenement houses, which are treated as an expression of their maintenance conditions, and the size of the technical wear of these elements were determined in a representative and purposefully selected sample of 102 apartment houses built in the second half of the 19th and early 20th centuries in the Wroclaw, Poland downtown district “Srodmiescie”. Recognition of the impact of the maintenance of residential buildings on the level of their technical wear was carried out using quantitative methods from fuzzy set categories, and also with the use of the authors’ own model. The created model, based on the Zadeh function, was created in fuzzy conditions for the purpose of assessing the degree of damage to selected building elements. The treatment of the problem with regard to fuzzy criteria allowed for the synthesis of elementary criteria, which give the greatest approximations at the technical research stage of a residential building, into a global assessment of the degree of the wear of its elements. Moreover, it also significantly reduced the subjective factor of this assessment, which had a significant impact on the results of the research obtained in the case of good, medium and poor conditions of tenement houses. It was proven that the conditions of maintenance and use of buildings determine the amount of technical wear of their elements. The state of exploitation of the examined tenement houses is reflected in the mechanical damage to the internal structure of the elements (determined in fuzzy categories). This damage has a significant frequency and cumulative effects, and is characteristic for buildings with satisfactory and average maintenance.

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“…The DCPM method is still being developed by Zhang et al [32] and Zhang et al [33]. Recently, Ibadov [34], Ibadov and Kulejewski [35], proposed a network model with a fuzzy decision node for planning construction projects that feature the analysis of uncertain parameters.…”

Section: Decision Network-literature Reviewmentioning

confidence: 99%

Using Stochastic Decision Networks to Assess Costs and Completion Times of Refurbishment Work in Construction

et al. 2019

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According to the concept of sustainable development, the process of extending the life-cycle of existing buildings (including historical ones) through their restoration not only generates benefits from their layer use but also—and primarily—constitutes a chance for their substance to survive for use by future generations. Building restoration projects are usually difficult to plan, primarily due to the limited amount of information on the technical condition of existing structures and their historical substance, which often makes the scope of renovation works difficult to determine. At the stage of planning such a project, it is, therefore, reasonable to consider various scenarios of its implementation, the occurrence of which can be both random and can be generated by the decision-maker. Unfortunately, in practice, the right tools for planning such projects are not used, which in effect generates problems associated with underestimating their completion time and costs. In subject literature, there are proposals of the use of stochastic and decision networks to assess the course of various projects that are characterised by having indeterminate structures. However, these networks are limited to modelling tasks that either occur purely randomly or are fully generated by decision-makers. There are no studies that enable the modelling and optimisation of the structure of a project while taking into consideration both the random and decision-based nature of carrying it out. In the article, the authors proposed a stochastic decision network that enables the correct modelling of projects with a multi-variant structure of being carried out. For the purpose of analysing the network model, elements of mathematical programming were used to determine optimal decisions (in terms of expected costs and completion times of carrying out a project) that control the structure of the project being modelled. The entirety of the authors’ proposal was backed by a calculation experiment on an example of a refurbishment construction project, which confirmed the application potential of the proposed approach.

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The Alternative Net Model with the Fuzzy Decision Node for the Construction Projects Planning

Cited by 10 publications

References 15 publications

Fuzzy Relations Matrixes of Damages and Technical Wear Related to Apartment Houses

Fuzzy Relations Matrixes of Damages and Technical Wear Related to Apartment Houses

Damage and Technical Wear of Tenement Houses in Fuzzy Set Categories

Using Stochastic Decision Networks to Assess Costs and Completion Times of Refurbishment Work in Construction

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