Determination of the Risk Factors Impact on the Construction Projects Implementation Using Fuzzy Sets Theory

Ibadov, Nabi

doi:10.12693/aphyspola.130.107

Cited by 23 publications

(18 citation statements)

References 7 publications

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“…There are different techniques in the literature that benefit from fuzzy set theory. One of the important elements of the fuzzy set theory is a linguistic variable which adopts natural language expressions as its value [32]. In this study performance criteria are sorted in descending order in an attempt to make strategic decisions.…”

Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Small-Medium Enterprises Based on Management and Organization

Toklu

Taşkın

2017

Acta Phys. Pol. A

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Companies need to constantly evaluate their activities in strategic planning process. These activities include all processes in the company, such as management and organization, research and development, production planning, manufacturing, post-sales services, accounting and finance. The aim of this study is to propose an evaluation model that can be used to evaluate management and organization performance for small and medium enterprises. In the proposed model, fuzzy multi-criteria decision-making approaches consisting of fuzzy analytic network process and fuzzy decision making trial and evaluation laboratory methods are used to determine the weights of performance criteria. A case study has been conducted in a small and medium enterprise for empirical evidence. From the outcome of our investigation, it is possible to conclude that "corporate communication" and "process management" are more important criteria. The most important sub-criteria are listed as, "senior management in harmony with each other", "employee requests and demands are collected periodically" and "pocket reference that includes procedures and fixed rules are available".

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Section: Methodsmentioning

confidence: 99%

Performance Evaluation of Small-Medium Enterprises Based on Management and Organization

Toklu

Taşkın

2017

Acta Phys. Pol. A

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“…Methodology proposes a whole range of tools: documentation reviews, information gathering techniques (brainstorming, Delphi technique, interviewing, root cause analysis), checklist analysis, assumptions analysis, diagramming techniques (cause and effect diagrams, system of process flow charts, influence diagrams), SWOT analysis and expert judgement. As a result of the tools are the following products: list of identified risks, list of potential responses, root causes of risks, updated risk categories [11,15,16].…”

Section: Identifying Risksmentioning

confidence: 99%

The problem of choosing risk management methodology at the example of railway construction.

Kaczorek¹,

Krzemiński²,

Ibadov³

2017

MATEC Web Conf.

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Abstract.One of the most expensive projects in the construction industry are railway projects. High costs and specificity of implementation involve high risks throughout the investment and construction process. Over the years, project management methodologies have been developed that facilitate, among other things, the management of risk factors This article reviews the recommendations for risk management in each methodology. In addition, their usefulness have been evaluated in railway construction. Risk issue in railway projectsOne of the most expensive projects in the construction industry are railway projects [1,2,3]. The reason for this is primarily from the very wide range of works being carried out [4]. It also causes a long investment period [5,6,7]. These values, i.e. cost, range and time [8,9] are, according to many recognized methodologies(for example: PRINCE2, PMBOK, AGILE, IPMA, ITIL, SCRUM or JASPERS) three basic parameters of the project. Moreover, they are closely related, so that modifying the value of one parameter results in at least one of the other two. These three methodologies supplement the basic parameters with additional parameters. The parameters differ depending on the methodology, but each of them takes into account the issues related to the management of risk factors. In the article, the authors attempt to compare the ways of managing the risk factors represented by the individual methodologies, and also assess which of them would be most appropriate for the implementation into railway contracts. Methodologies used in project managementThe year of the first project management methodology is considered to be 1942, when relevant studies were prepared for the Manhattan Engineering District Project. With the passing of time, new methodologies have appeared while the existing ones have been developing.. As a result of this process, there are a whole array of different methodologies today. What is the reason for such a large development of the area of project management knowledge? The reasons are mainly three. The first one is the geographic cause. In different

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“…a i -the value of type a of input set, from i set of input data after standardization, a 01 -the value of type of input observed in process (before standardization), i -consecutive number of the process being observed. Multi-Layer Perceptron (MLP) type of ANN was used, as it was found that MLP networks have higher abilities to generalize input-output relations than ANN of Radial Basis Function (RBF) [5,6]. It was checked empirically that for this case, i.e.…”

Section: Ann Trained With the Set Of Real Numbers As An Output Reprementioning

confidence: 99%

Neuro-fuzzy predictions of construction site completion dates

Anysz

Ibadov

2017

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Neuro-fuzzy predictions of construction site completion datesNeuro-rozmyte prognozowanie terminów zakończenia przedsięwzięć budowlanych AbstractThe results from two types of multi-layer perceptron artificial neural networks (Matlab R2015a was used) were compared. The first one, with only one neuron in an output layer having the value of delay in completion date of building site. The output layer of the second artificial neural network is created by three neurons. These three values represent the same delay, but in a form of three values of membership functions to fuzzy sets. In order to evaluate the accuracy of predictions, the mean squared error was used. It was necessary to find the best method of defuzzyfication predicted delays to compare the results from these two, aforementioned artificial neural networks. The level of prediction accuracy measured by mean squared error was discussed, too. Keywords: MLP artificial neural networks, fuzzy sets, delays in completion datesStreszczenie W artykule porównano wyniki prognoz uzyskane wielowarstwowymi sztucznymi sieciami neuronowymi (obliczenia wykonano pakietem Matlab R2015a). Pierwsza z nich miała jeden neuron w warstwie wyjścio-wej, któremu przypisano wartość opóźnienia w terminie zakończenia danej budowy. Warstwę wyjściową drugiej sieci stanowiły trzy neurony, zawierające wartości funkcji przynależności tego samego opóźnienia do trzech zborów rozmytych. Do porównania dokładności prognoz uzyskanych z dwóch ww. sztucznych sieci neuronowych zastosowano średni błąd kwadratowy. Wymagało to znalezienia najlepszej metody defuzzyfikacji prognoz otrzymanych w postaci liczb rozmytych. Dokładność prognoz została porównana i przedyskutowana.Słowa kluczowe: sztuczne sieci neuronowe MLP, zbiory rozmyte, opóźnienia terminu zakończenia budowy 52

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Determination of the Risk Factors Impact on the Construction Projects Implementation Using Fuzzy Sets Theory

Cited by 23 publications

References 7 publications

Performance Evaluation of Small-Medium Enterprises Based on Management and Organization

Performance Evaluation of Small-Medium Enterprises Based on Management and Organization

The problem of choosing risk management methodology at the example of railway construction.

Neuro-fuzzy predictions of construction site completion dates

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