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Book part
Publication date: 5 October 2018

Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes…

Abstract

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Book part
Publication date: 5 October 2018

Mohammad Raoufi, Nima Gerami Seresht, Nasir Bedewi Siraj and Aminah Robinson Fayek

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex…

Abstract

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

Keywords

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Article
Publication date: 17 December 2019

Yingjie Yang, Sifeng Liu and Naiming Xie

The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part…

Abstract

Purpose

The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part in data collection, profiling, imputation, analysis and decision making.

Design/methodology/approach

A comparative study is conducted between the available uncertainty models and the feasibility of grey systems is highlighted. Furthermore, a general framework for the integration of grey systems and grey sets into data analytics is proposed.

Findings

Grey systems and grey sets are useful not only for small data, but also big data as well. It is complementary to other models and can play a significant role in data analytics.

Research limitations/implications

The proposed framework brings a radical change in data analytics. It may bring a fundamental change in our way to deal with uncertainties.

Practical implications

The proposed model has the potential to avoid the mistake from a misleading data imputation.

Social implications

The proposed model takes the philosophy of grey systems in recognising the limitation of our knowledge which has significant implications in our way to deal with our social life and relations.

Originality/value

This is the first time that the whole data analytics is considered from the point of view of grey systems.

Details

Marine Economics and Management, vol. 2 no. 2
Type: Research Article
ISSN: 2516-158X

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Article
Publication date: 6 April 2012

Chetan Chawla, Mzamo Mangaliso, Bradford Knipes and Jeff Gauthier

The purpose of this paper is to explain the antecedents of environmental uncertainty in management using a historical framework. The goal of developing passion and…

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1034

Abstract

Purpose

The purpose of this paper is to explain the antecedents of environmental uncertainty in management using a historical framework. The goal of developing passion and compassion in management practice and research cannot be achieved unless a better understanding is developed of the main challenge facing researchers and practitioners – uncertainty.

Design/methodology/approach

The antecedents of uncertainty in management are explored using a historical framework. This enables the generation of insights into the nature and use of uncertainty over the decades.

Findings

The importance of environmental uncertainty is escalating. The paper's historical, philosophical and critical view helps scholars explain and interpret uncertainty within their own research and formulate new research questions.

Originality/value

Understanding the epistemological assumptions underlying paradigms will better enable researchers and practitioners to face a future filled with uncertainty and equivocality.

Details

Journal of Management History, vol. 18 no. 2
Type: Research Article
ISSN: 1751-1348

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Article
Publication date: 1 March 2000

Guido A. Krickx

This paper shows that uncertainty is a multidimensional theoretical concept, which has empirical implications for the relationship with vertical integration. In a survey…

Abstract

This paper shows that uncertainty is a multidimensional theoretical concept, which has empirical implications for the relationship with vertical integration. In a survey of empirical work that tests the relation between uncertainty and vertical integration, this paper demonstrates that performance ambiguity and general measures of uncertainty are positively related with vertical integration, technological uncertainty is negatively related, while market uncertainty and complexity are not systematically related to vertical integration.

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The International Journal of Organizational Analysis, vol. 8 no. 3
Type: Research Article
ISSN: 1055-3185

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Article
Publication date: 14 October 2014

John Ahmet Erkoyuncu, Rajkumar Roy, Essam Shehab and Elmar Kutsch

In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability)…

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1196

Abstract

Purpose

In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability), the purpose of this paper is to present a framework to manage the influence of uncertainty on cost estimates.

Design/methodology/approach

The research applied the Soft Systems Methodology and benefitted from interaction with four major organisations in the defence industry through document sharing, semi-structured interviews, workshops, and case studies.

Findings

The framework is composed of seven stages to plan, identify, prioritise, classify, and manage cost uncertainties. Through the validation of three case studies some of the key benefits of the framework were realised in project planning, uncertainty visualisation, and capability management.

Research limitations/implications

The research has been applied in the defence sector in the UK and focuses on the bidding stage. Further research needs to be applied to confirm that the findings are applicable across industries and across the life cycle.

Originality/value

The paper builds on the theory behind risk and uncertainty management and proposes an innovative framework that avoids the assumption of “perfect” knowledge by raising questions about the validity of the input data.

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Book part
Publication date: 12 July 2011

Prithviraj Chattopadhyay, Elizabeth George and Carmen Kaman Ng

In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We…

Abstract

In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We then develop an uncertainty reduction model of relational demography, which describes a two-stage process of uncertainty emergence and reduction in a workgroup setting. The first stage depicts how structural features of the workgroup (workgroup composition) and occupation (the legitimacy of its status hierarchy) induce two forms of uncertainty: uncertainty about group norms and uncertainty about instrumental outcomes. The second part of the model illustrates employees' choice of uncertainty reduction strategies, depending on the type of uncertainty they experience, and the status of their demographic categories. Implications for theory and practice are discussed.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-0-85724-554-0

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Article
Publication date: 13 August 2018

Kangkang Yu, Jack Cadeaux, Nanfeng Luo, Cheng Qian and Zhenghao Chen

The purpose of this paper is to understand how the consistency between objective and perceived environmental uncertainty might affect supply chain flexibilities that cope…

Abstract

Purpose

The purpose of this paper is to understand how the consistency between objective and perceived environmental uncertainty might affect supply chain flexibilities that cope with supply chain risk.

Design/methodology/approach

This study adopted a case study of comparative four companies in order to obtain an in-depth knowledge of the environmental conditions under which the companies implement different types of supply chain risk management (SCRM) strategies: logistics flexibility and relationship flexibility.

Findings

The case analysis not only distinguished the different effects of objective and perceived environmental uncertainty on supply chain flexibility, but also established the propositions about the effects of the consistency between objective and perceived environmental uncertainty on logistics flexibility and relationship flexibility in SCRM.

Originality/value

In principle, supply chain flexibility aims to cope with complex and turbulent environments. Yet, empirical findings about the effects of environmental uncertainty on supply chain flexibility are inconclusive. This study addressed this question by differentiating between objective and perceived environmental uncertainty as well as between logistics and relationship supply chain flexibilities.

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Article
Publication date: 13 July 2015

Alasdair Marshall and Udechukwu Ojiako

The purpose of this paper is to utilise Vilfredo Pareto ' s Machiavellian-realist social theory to provide a distinctive realist philosophical understanding of…

Abstract

Purpose

The purpose of this paper is to utilise Vilfredo Pareto ' s Machiavellian-realist social theory to provide a distinctive realist philosophical understanding of entrepreneurial risk-taking. By doing so, this paper seeks to stimulate debate and encourage future empirical testing that has the potential to present a richer understanding of entrepreneurial risk-taking.

Design/methodology/approach

To establish that a realist perspective can help theorise entrepreneurship, the authors look through a modern day risk and uncertainty optic at the hidden mechanisms within the social world where enterprises operate. Looking from this unique standpoint, where the long established social theory is reinvigorated by contemporary risk philosophy within a shared realist paradigm, human nature equips entrepreneurs with certain “animal spirits” to muddle blindly and instinctually through their risk environments.

Findings

The paper argues that this combined perspective unlocks a much richer understanding of entrepreneurial risk-taking, in particular, by capturing more of its behavioural reality and despite our strong emphasis on the inaccessibility and hiddenness of the risk environment to the entrepreneur, by exploring the entrepreneur-risk environment fit in ecological terms.

Originality/value

The paper’s unique blend of the classical Italian social theory with the contemporary risk theory offers a novel ecological view of the entrepreneur’s blind (mal) adaptation to their risk environment.

Details

Society and Business Review, vol. 10 no. 2
Type: Research Article
ISSN: 1746-5680

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Book part
Publication date: 5 October 2018

Aminah Robinson Fayek and Rodolfo Lourenzutti

Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of…

Abstract

Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of construction engineering and management, and traditionally, it has been treated as a random phenomenon. However, there are many types of uncertainty that are not naturally modelled by probability theory, such as subjectivity, ambiguity and vagueness. Fuzzy logic provides an approach for handling such uncertainties. However, fuzzy logic alone has some limitations, including its inability to learn from data and its extensive reliance on expert knowledge. To address these limitations, fuzzy logic has been combined with other techniques to create fuzzy hybrid techniques, which have helped solve complex problems in construction. In this chapter, a background on fuzzy logic in the context of construction engineering and management applications is presented. The chapter provides an introduction to uncertainty in construction and illustrates how fuzzy logic can improve construction modelling and decision-making. The role of fuzzy logic in representing uncertainty is contrasted with that of probability theory. Introductory material is presented on key definitions, properties and methods of fuzzy logic, including the definition and representation of fuzzy sets and membership functions, basic operations on fuzzy sets, fuzzy relations and compositions, defuzzification methods, entropy for fuzzy sets, fuzzy numbers, methods for the specification of membership functions and fuzzy rule-based systems. Finally, a discussion on the need for fuzzy hybrid modelling in construction applications is presented, and future research directions are proposed.

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

Keywords

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