Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project

Research output: Contribution to journalArticlepeer-review

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Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project. / Ruan, Da; Li, Tianrui; Maes, Dirk (Peer reviewer).

In: International Journal of Nuclear Knowledge Management, Vol. 2, No. 4, 02.2007, p. 375-395.

Research output: Contribution to journalArticlepeer-review

Harvard

Ruan, D, Li, T & Maes, D 2007, 'Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project', International Journal of Nuclear Knowledge Management, vol. 2, no. 4, pp. 375-395.

APA

Ruan, D., Li, T., & Maes, D. (2007). Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project. International Journal of Nuclear Knowledge Management, 2(4), 375-395.

Vancouver

Ruan D, Li T, Maes D. Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project. International Journal of Nuclear Knowledge Management. 2007 Feb;2(4):375-395.

Author

Ruan, Da ; Li, Tianrui ; Maes, Dirk. / Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project. In: International Journal of Nuclear Knowledge Management. 2007 ; Vol. 2, No. 4. pp. 375-395.

Bibtex - Download

@article{ca6e68cdde6f481b8d722188062f6be9,
title = "Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project",
abstract = "Cost estimation for large projects can be difficult because of many complex factors and uncertainties involved. It is often the case that only very rough guesses of actual costs may be provided. In this paper, we will examine the various types of uncertainties in the cost estimation problem of a large scale nuclear project, namely, the MYRRHA project at SCK•CEN. We will then use a few examples originated from the conceptual phase of the project to illustrate the practical use of a software package, IDS Cost Estimator, in cost analysis of nuclear systems. It is demonstrated that IDS Cost Estimator can take care of several types of uncertainties in cost estimation and provide user friendly interfaces for data collection, reporting and display. Moreover, several common aggregation operators are extended under the ordered 3-tuple space to achieve aggregation of any items and uncertainty analysis by output of IDS cost estimator.",
keywords = "interval uncertainty, probability uncertainty, decision support systems, fuzzy logic, cost estimation, uncertainty analysis, aggregation operator, MYRRHA",
author = "Da Ruan and Tianrui Li and Dirk Maes",
note = "Score = 10",
year = "2007",
month = feb,
language = "English",
volume = "2",
pages = "375--395",
journal = "International Journal of Nuclear Knowledge Management",
issn = "1479-540X",
publisher = "Inderscience Publishers",
number = "4",

}

RIS - Download

TY - JOUR

T1 - Uncertainty analysis via aggregation operators for cost estimation in a large-scale nuclear project

AU - Ruan, Da

AU - Li, Tianrui

A2 - Maes, Dirk

N1 - Score = 10

PY - 2007/2

Y1 - 2007/2

N2 - Cost estimation for large projects can be difficult because of many complex factors and uncertainties involved. It is often the case that only very rough guesses of actual costs may be provided. In this paper, we will examine the various types of uncertainties in the cost estimation problem of a large scale nuclear project, namely, the MYRRHA project at SCK•CEN. We will then use a few examples originated from the conceptual phase of the project to illustrate the practical use of a software package, IDS Cost Estimator, in cost analysis of nuclear systems. It is demonstrated that IDS Cost Estimator can take care of several types of uncertainties in cost estimation and provide user friendly interfaces for data collection, reporting and display. Moreover, several common aggregation operators are extended under the ordered 3-tuple space to achieve aggregation of any items and uncertainty analysis by output of IDS cost estimator.

AB - Cost estimation for large projects can be difficult because of many complex factors and uncertainties involved. It is often the case that only very rough guesses of actual costs may be provided. In this paper, we will examine the various types of uncertainties in the cost estimation problem of a large scale nuclear project, namely, the MYRRHA project at SCK•CEN. We will then use a few examples originated from the conceptual phase of the project to illustrate the practical use of a software package, IDS Cost Estimator, in cost analysis of nuclear systems. It is demonstrated that IDS Cost Estimator can take care of several types of uncertainties in cost estimation and provide user friendly interfaces for data collection, reporting and display. Moreover, several common aggregation operators are extended under the ordered 3-tuple space to achieve aggregation of any items and uncertainty analysis by output of IDS cost estimator.

KW - interval uncertainty

KW - probability uncertainty

KW - decision support systems

KW - fuzzy logic

KW - cost estimation

KW - uncertainty analysis

KW - aggregation operator

KW - MYRRHA

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_80871

UR - http://knowledgecentre.sckcen.be/so2/bibref/4263

M3 - Article

VL - 2

SP - 375

EP - 395

JO - International Journal of Nuclear Knowledge Management

JF - International Journal of Nuclear Knowledge Management

SN - 1479-540X

IS - 4

ER -

ID: 350215