Construction projects planning using network model with the fuzzy decision node

Abstract

In the construction practice, at the stage of planning of a construction project, planners are trying to take into account the possibility of unfavorable situations and their consequences during the project execution. Therefore, planning decisions should use appropriate tools for uncertainty modeling as well as consider alternative options for the implementation of the entire undertaking or the most sensitive (critical) works. Taking into account the fact that the management and planning of construction projects is carried out in conditions of non-stochastic uncertainty, the authors propose to create an alternative model with a fuzzy decision node based on classical network models. This approach allows to model activities that are alternative to each other. An important methodological element is the fuzzy assessment of the considered alternatives with the use of fuzzy set theory. The proposed alternative network model with a fuzzy decision node gives the possibility to conduct a comprehensive analysis with the possibility of taking into account and modeling the uncertainty of input data in an easy way. The numerical example shows the possibility of quick selection of the best variant based on the adopted assessment criteria and allows to serialize work variants, which gives additional information in the alternative activities of the network model in the form of preferences. The combination of a decision model in the form of a decision node with a network model can be useful in both strategic and tactical planning of the implementation of construction projects.

Damage and Technical Wear of Tenement Houses in Fuzzy Set Categories

“…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.…”

“…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.…”

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

“…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.…”

Technical Assessment of Old Buildings by Fuzzy Approach

“…to increasing an intensity of a fuzzy set's contrast fuzzy theory features have been explicated in recently published papers[1, 2,3,4,5,8,9,10,11]. The intensity of the contrast ascends the membership degrees, which are equal or higher than 0,5 and descends those of them which are lower than 0,5.Zadeh function applied to increase an intensity of a fuzzy set's contrast AX: uj) -degree of defects membership μuj to elementary fuzzy sets u1yu30 frequency of occurring defects; f(μuj) -membership function at range [0,1].…”