Abstract

The paper presents an overview of the literature from recent years devoted to planning the time, costs and risk of a construction investment using fuzzy logic. It also presents three own original models concerning the issue. The first model is used to build a fuzzy construction schedule taking into account fuzzy norms and the number of workers. The costing model uses fuzzy inference from CBR cases. The aim was to increase the accuracy and correctness of the cost calculation performed for the investor in the construction and investment process with a certain degree of vagueness of the available information about materials. In the last of the presented models, fuzzy sets were used to assess the effects of technological and construction (implementation) risk factors. The presented examples prove the usefulness of fuzzy logic in solving problems in construction, where we have incomplete and imprecise information.

Highlights

  • The elements which are subject to special planning and control by both contracting authorities and contractors are the time and cost of investment execution

  • In line with this objective, time and cost analyzes are shown with different examples to show the possibilities of use in different construction works

  • The analysis of the time, costs and risks associated with a construction investment, taking into account the uniqueness of each investment and the variability of its implementation conditions, is an extremely difficult and complex task

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Summary

Introduction

The elements which are subject to special planning and control by both contracting authorities and contractors are the time and cost of investment execution. Fuzzy logic is ideal for solving such complex problems where incomplete and imprecise information is used, and the assessment of the impact of factors to be taken into account is often non-quantifiable. In order to solve problems related to establishing time and cost, as well as to assess the risks of construction investments, researchers very often use the fuzzy set theory. The aim of the paper is to indicate the possibilities offered by the theory of fuzzy sets in decision making in construction in the broadest possible scope. In line with this objective, time and cost analyzes are shown with different examples to show the possibilities of use in different construction works.

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