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Saturday, July 11, 2020 | History

2 edition of fuzzy approach to construction activity estimation found in the catalog.

fuzzy approach to construction activity estimation

Hyung John Shin

fuzzy approach to construction activity estimation

by Hyung John Shin

  • 121 Want to read
  • 18 Currently reading

Published .
Written in English


Edition Notes

Thesis (Ph.D.) - Loughborough University of Technology, 1994.

Statementby Hyung John Shin.
ID Numbers
Open LibraryOL19695805M

FUZZY SET-BASED CONTINGENCY ESTIMATING AND MANAGEMENT. Ahmad Salah, M.A. Sc. Concordia University, Contingency estimating and management are critical and necessary functions for successful delivery of construction projects. Considering such importance, academics and. A Fuzzy based Model for Effort Estimation in Scrum Projects Jasem M. Alostad Scrum is an iterative and incremental approach for managing the software projects in a changing environment. Each iteration aims to produce a potential set of the software estimation techniques, and .

paper applies the fuzzy risk analysis model which has been introduced by E.W.T Ngai, F.K.T Wat, (), to construction projects. In this paper we followed the same procedure to build the fuzzy risk analysis method but the definitions and applications are customized for construction projects. Qualitative Model for Risk Assessment in Construction Industry: A Fuzzy Logic Approach Abel Pinto 1, Isabel L. Nunes 1 and Rita A. Ribeiro 2 1 Universidade Nova Lisboa / FCT, Caparica, Portugal 2 Uninova, Campus UNL/FCT, Caparica, Portugal [email protected], [email protected], [email protected] Abstract. Risk Assessment for Health and Safety (RAH&S) of workers is a.

2. Fuzzy model of the classification, estimation and prediction of the states of processes in the form of a linear connection x i =a i,jp, with weight w jp ¿ ¿: y j =b j 0 +b j 1 x 1 + b j n (3) x n ¿ 3. Fuzzy model of 1the classification, estimation and prediction of process states in the form of fuzzy terms output x i . A Fuzzy-Logic-Based Approach to Qualitative Modeling Michio Sugeno and Takahiro Yasukawa Abstract- This paper discusses a general approach to quali- tative modeling based on fuzzy logic. The method of qualitative modeling is divided into two parts: fuzzy modeling and linguistic approximation. It proposes to use a fuzzy clustering methodFile Size: 2MB.


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Fuzzy approach to construction activity estimation by Hyung John Shin Download PDF EPUB FB2

Introduction. According to Mark et al. (), risk is simply the potential for complications and problems with respect to the completion of a project task and the achievement of a project is inherent in all project undertakings, as such it can never be fully eliminated, although can be effectively managed to mitigate the impacts to the achievement of project’s by: It proposes a fuzzy contingency determination model (FCDM) that utilizes a novel and transparent fuzzy arithmetic procedure to determine construction project contingency using the α-cut method and the extension principle, based on t-norms.

Linguistic scales, represented by fuzzy numbers, enable experts to use natural language to assess the. The dynamic nature of construction projects triggers uncertainty in activity durations. Several approaches such as interval analysis, probabilistic models, and fuzzy set theory have been proposed in the literature to address this uncertainty and provide more realistic duration estimates.

The author shows a fuzzy estimation for the duration of an activity, taking into consideration the distorting influence caused by malfunctioning construction equipment and delivery delays of Author: Nabi Ibadov.

A fuzzy quality cost estimation method. it is possible to approach the quality cost values it really has. based on initial estimations (calculated costs), thus permitting the construction of the TFN quality cost. The next step is the short-term estimation of quality costs by means of by: 9.

The study aims to give an approach for safety cost estimation for the early stages of construction bidding phase using risk assessment activities and construction project scheduling by focusing on.

Consequently, for software development effort estimation by Neuro-Fuzzy approach, we will use of all the significant factors on software effort. So the final results are very accurate and reliable when they are applied to a real dataset in a software by: 3.

inevitable to search a new approach to deal with uncertainties. The ability of a fuzzy system to deliver its reasoning process is presented to have absolute result within the field of risk analysis. As well as, fuzzy set theory is mainly subjective and associated to deal with inexact and vague information in.

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Besides of these there are many equation based effort estimation techniques like Halstead Model, Bailey-Basil Model, and Walston-Felix Model. Cost and effort estimation are the major concern of any software industry.

They are identified with the help of Kilo Line Code (KLOC) which denotes number of, line of code in. A Review of Genetic Algorithm used for op-timizing scheduling of Resource Constraint construction projects.

Chanas, S., & Kamburowski, J. The use of fuzzy variables in PERT. Fuzzy sets and sys-tems, 5(1), Chanas, S., & Zieliński, P. Critical path analysis in Cited by: 5. Software Effort Estimation Using Fuzzy Approach.

Salma Tarannum, 2. Mohammad Arif, 3. Shish Ahmad. 1,2,3. Integral University, Lucknow. ABSTRACT - From the very beginning COCOMO model was used for estimation process, at that era fuzzy logic or perhaps artificial intelligence wasn't grounded into solid.

In present. analysis. In this paper, we are using fuzzy based approach which is used for software quality estimation. Fuzzy Logic was primarily bestowed in to check however rule based system can solve the software effort estimation drawback. The aim of this paper is to analyze the process, product and platform based attribute by applying rule based Size: KB.

Tsehayae and Fayek, using a system model approach, studied CLP of concreting activity under industrial, warehouse, high-rise, and institutional building project contexts; the authors used a fuzzy hybrid approach, which incorporated FISs, developed using a data-driven fuzzy clustering technique, combined with a genetic algorithm-based model Cited by: 1.

Keywords: Fuzzy synthetic evaluation, Fuzzy measures, Fuzzy integrals, Core samples set, Decision information system 1. Introduction. Synthetic evaluation is a multi-factor decision-making method by giv-ing a comprehensive evaluation to object, and it is the core problem of resource manage-File Size: KB.

A online respiratory for free estimating books where contractor users can download cost estimating books pdf through a huge estimating ebooks. [email protected] Sheet. handles them as well. Various fuzzy membership functions are used in this paper. One of the most popular model, based upon estimation technique is COCOMO and its variants, which is highly used in the industry, along with the other variants such as neuro fuzzy approach, fuzzy approach, and cost driver based estimations.

Managers require a good understanding about the nature of risks involved in a construction project because the duration, quality, and budget of projects can be affected by these risks. Thus, the identification of risks and the determination of their priorities in every phase of the construction can assist project managers in planning and taking proper actions against those by: In order to render precise construction cost estimating solutions to clients as per their requirement, there are various consultancies in leading states that follow the best practices to ensure quality services.

follow the best practices to ensure quality services. Here is. More. Overview of the Application of “Fuzzy Techniques” in Construction Management Research Albert P.

Chan1; Daniel W. Chan, 2; and John F. Yeung3 Abstract: During the last decade, “fuzzy techniques” have been increasingly applied to the research area of construction management discipline. To date, however, no paper has attempted to summarize and present a critique of the.

The fuzzy nature allows deployment of linguistic variables during PWV estimation. The study uses a numerical example for demonstrating the application of the proposed approach. If desired, the model discussed here can be further extended to capture other aspects of interest in the estimation of PWV such as: the required time, budget, etc.

The book provided a straight forward approach to Project Cost Estimating. The professor I took the course from was very confusing and assigned a very complex all encompassing Case Study that I could not make heads or tails of until I read this book, it actually made sense of the lectures to the point where I could actually apply the information from class to the assignment/5(19).A Fuzzy Approach to Model Evaluation of Project Complexity EHSAN POURJAVAD, RENE V.

MAYORGA Industrial Systems Engineering University of REGINA Wascana Parkway, Regina, SK, S4S 0A2 CANADA [email protected] [email protected] Abstract: Evaluating project complexity is the main means for successful projects and can play an important.Software Cost estimation at activity level is very much accurate than macro estimation with respect to phases of software development life cycle, but the same is very difficult to achieve[1].

Activity based estimation focus on key activities should not be left out and if any effort variance occurs it will be possible to track at particular Author: M.J Basavaraj, K.C Shet.