scholarly journals Solving Civil Engineering Problems by Means of Fuzzy and Stochastic MCDM Methods: Current State and Future Research

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Jurgita Antucheviciene ◽  
Zdeněk Kala ◽  
Mohamed Marzouk ◽  
Egidijus Rytas Vaidogas
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Civil Engineering ◽  
Multiple Criteria Decision Making ◽  
Future Research ◽  
Building Information Modelling ◽  
Energy Efficient Buildings ◽  
Current State ◽  
Building Information ◽  
Methodological Problems

The present review examines decision-making methods developed for dealing with uncertainties and applied to solve problems of civil engineering. Several methodological difficulties emerging from uncertainty quantification in decision-making are identified. The review is focused on formal methods of multiple criteria decision-making (MCDM). Handling of uncertainty by means of fuzzy logic and probabilistic modelling is analysed in light of MCDM. A sensitivity analysis of MCDM problems with uncertainties is discussed. An application of stochastic MCDM methods to a design of safety critical objects of civil engineering is considered. Prospects of using MCDM under uncertainty in developing areas of civil engineering are discussed in brief. These areas are design of sustainable and energy efficient buildings, building information modelling, and assurance of security and safety of built property. It is stated that before long the decision-making in civil engineering may face several methodological problems: the need to combine fuzzy and probabilistic representations of uncertainties in one decision-making matrix, the necessity to extend a global sensitivity analysis to all input elements of a MCDM problem with uncertainties, and an application of MCDM methods in the areas of civil engineering where decision-making under uncertainty is presently not common.

scholarly journals APPLICATIONS OF FUZZY MULTIPLE CRITERIA DECISION MAKING METHODS IN CIVIL ENGINEERING: A STATE-OF-THE-ART SURVEY

2021 ◽  
Vol 27 (6) ◽  
pp. 358-371
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Edmundas Kazimieras Zavadskas ◽  
Jurgita Antuchevičienė
Keyword(s):  
Decision Making ◽  
Civil Engineering ◽  
State Of The Art ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Future Research ◽  
Research Directions ◽  
Research Problems ◽  
Future Research Directions ◽  
Fuzzy Mcdm

A variety of fuzzy multiple criteria decision making (MCDM) models have been proposed to solve complicated decision-making problems. Many applications have been achieved, especially in the field of civil engineering. To analyze the developments about the fuzzy MCDM methods and their applications in civil engineering in recent years and further explore the future research directions, this study conducts a state of the art survey in which 52 journal papers focusing on the applications of fuzzy MCDM models in civil engineering from 2016 to 2020 are reviewed. We respectively classify these articles according to research problems and research methods. Through the literature review, we get findings in terms of the most concerned decision-making problem, the most widely-used evaluation criterion and the most popular fuzzy MCDM model. Furthermore, we present four aspects of research challenges and corresponding future research directions in the field of civil engineering, which may be helpful for researchers and practitioners to further investigate.

scholarly journals Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Femoral Component ◽  
Human Life ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Biomedical Science ◽  
Human Beings ◽  
Weighted Sum Method ◽  
Selection Of

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

scholarly journals Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

2021 ◽  
Author(s):  
Faruk Karaaslan ◽  
Mohammed Allaw Dawood Dawood
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operators ◽  
Multi Criteria Decision Making ◽  
Two Dimensional ◽  
Weighted Arithmetic ◽  
Mcdm Method ◽  
Dombi Operations

AbstractComplex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

scholarly journals Building Information Modelling: An analysis of the methods used to streamline design-to-construction in New Zealand

2021 ◽  
Author(s):  
◽  
Nelson Chan
Keyword(s):  
Qualitative Research ◽  
Supply Chain ◽  
New Zealand ◽  
Future Research ◽  
Research Approach ◽  
Structured Interviews ◽  
Building Information Modelling ◽  
Architectural Engineering ◽  
Building Information ◽  
Significant Factors

<p>The following study explores and investigates the current methods New Zealand (NZ) Architectural, Engineering and Construction (AEC) firms use to enable effective BIM coordination in their projects. The purpose was to gain and contribute knowledge of the various methods for successful BIM delivery, as well, as to bridge the gap between academia and industry for a greater understanding of BIM use in an NZ context.  A qualitative research approach was carried out and comprised of semi-structured interviews in which eight industry participants across the design-to-construction supply chain were selected and interviewed. From the results, the different methods identified were: BIM-to-fabrication; change of procurement methods; and incorporating BIM Collaboration Format (BCF) plugin platforms. These methods identified contribute to knowledge for future researchers to undertake; predominantly to provide direction and recommendations to explore each method in an NZ industry context further.  Further discussions of the results identify that although the different methods can contribute to better BIM coordination, the success of a BIM model to be delivered effectively is dependent on two significant factors. The factors are; firstly, to capture the BIM requirements and needs of the client to establish well-defined deliverables in the BEP; and secondly, to ensure that the project team are to understand their role and responsibilities right throughout the project. This was a crucial finding in this thesis as although the methods are effective in enabling greater BIM coordination; ultimately it comes down to BIM understanding and expertise from key project stakeholders; which brings the notion of the issue back to the root of the problem. Other key findings from this thesis indicate a positive future for BIM within the NZ AEC industry, with many of the participant firms recognised to be proactive and open to incorporating BIM into their projects. Though the signs are encouraging, discussions with industry participants still express their concerns on needing to align the understanding of BIM between key project stakeholders. Therefore, an education piece which focuses on the client and their understanding of BIM in an NZ context is suggested for future research. This thesis also presents academia with valuable industry BIM workflow diagrams which the author has either illustrated or been provided by participants.</p>

Towards a BIM-based approach for improving maintenance performance in IBS building projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zul-Atfi Bin Ismail
Keyword(s):  
Decision Making ◽  
Good Practice ◽  
Maintenance Management ◽  
Strategic Decision ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Conventional Methods

PurposeThe contemporary practice of conventional maintenance for industrialised building system (IBS) constructions suffers from poor service delivery and defect repetition. A key problem impeding the widespread adoption of emerging technologies is the lack of competent contractors to support the effectiveness of the technology implemented in conventional methods and to ensure returns on investment. The shortcomings of conventional methods are assessed from the perspective of IBS buildings. This paper aims to identify the different system approach using Building Information Modelling (BIM) technology that is equipped with decision making processes.Design/methodology/approachThis paper describes the establishment of key problem areas, the elements involved in implementing good practice and the requirements for integrating maintenance management processes and information databases in the maintenance management system.FindingsConventional methods have little emphasis on defect diagnosis tools. They also enhance inadequate strategic decision-making in the analysis of information when attempting to improve the maintenance project outcomes for IBS construction. The characteristics identified in a case study of IBS buildings are presented and analysed.Originality/valueThe conclusions and recommendations drawn from the analysis of the IBS case study are discussed, synthesised and deliberated upon. The approach presented in this paper integrates various aspects of building information modelling technology to facilitate improved execution of IBS maintenance activities.

scholarly journals Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development

2020 ◽  
Vol 13 (3) ◽  
pp. 795-848
Author(s):  
Alina Köchling ◽  
Marius Claus Wehner
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Current Knowledge ◽  
Future Research ◽  
Journal Articles ◽  
Research Directions ◽  
Current State ◽  
Management Context ◽  
Future Research Directions ◽  
State Of Research

AbstractAlgorithmic decision-making is becoming increasingly common as a new source of advice in HR recruitment and HR development. While firms implement algorithmic decision-making to save costs as well as increase efficiency and objectivity, algorithmic decision-making might also lead to the unfair treatment of certain groups of people, implicit discrimination, and perceived unfairness. Current knowledge about the threats of unfairness and (implicit) discrimination by algorithmic decision-making is mostly unexplored in the human resource management context. Our goal is to clarify the current state of research related to HR recruitment and HR development, identify research gaps, and provide crucial future research directions. Based on a systematic review of 36 journal articles from 2014 to 2020, we present some applications of algorithmic decision-making and evaluate the possible pitfalls in these two essential HR functions. In doing this, we inform researchers and practitioners, offer important theoretical and practical implications, and suggest fruitful avenues for future research.

scholarly journals Challenges of Building Information Modelling (BIM) from the Malaysian Architect’s Perspective

2019 ◽  
Vol 266 ◽  
pp. 05003
Author(s):  
Khairool Aizat Ahmad Jamal ◽  
Mohammad Fadhil Mohammad ◽  
Norfashiha Hashim ◽  
Mohamed Rizal Mohamed ◽  
Mohd Adib Ramli
Keyword(s):  
Construction Industry ◽  
Internal Factors ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Current State ◽  
Operational Level ◽  
The People ◽  
Key Players ◽  
Building Information ◽  
The Government

Malaysia is experiencing high economic growth which requires the construction industry to fulfill development demands. Building Information Modelling (BIM) had been widely publicized by the government in order to increase the industry’s productivity by instigating numerous initiatives aimed to spearhead its progression. In contrast with the aspiration, architects as key players of construction industry are still facing issues in adopting BIM into practice. Previous researches had broadly covered about BIM in construction industry, but few concentrations in specific to the local architect thus imposing gap of knowledge. In addressing the issues, the research aim to probe the current state of BIM implementation, primarily on the challenges that hinders its adoption. The BIM factors which covers people, process, policy and technology were derived and investigated through the use of 322 questionnaires distributed to architects at management and operational level. The study revealed the key barriers that contributes towards the problem is within the people factor, where majority highlighted the lacked of skilled and experienced BIM workforce which contributes towards steep learning environment as well as high cost of applying BIM. Consequently, several key strategic solutions had been indicated through both external and internal factors in addressing the challenge of BIM. Results suggested that there is a need of further support from the industry’s professional bodies, development of legal instruments, BIM enforcement, specific BIM education as well as BIM R&D programs.

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