An evaluation of ship investment in interval type-2 fuzzy environment

Akan, Ercan; Bayar, Sibel

doi:10.1080/01605682.2021.1944826

Cited by 8 publications

(3 citation statements)

References 68 publications

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“…topic-wise list of applications that exemplify the practical implications derived from the implementation of soft computing techniques. Topic 1-"Fuzzy Decision-Making under Uncertainty" encompasses the study of the application of fuzzy set theory in decision-making and its associated research challenges under uncertainties due to dynamically changing external factors or human judgments and expressions (Akan and Bayar, 2022). The extant literature suggests the use of fuzzy multi-attribute decision-making (F-MADM) methods for technology acquisition decisions under uncertainties and ambiguities (Dahooie et al, 2021), fuzzy situational networks for online decision-making in telecommunication systems (Kotenko et al, 2019), AHP-TOPSIS under interval type-2 fuzzy sets for selecting the optimal location of disaster response centres in humanitarian relief operations (Yılmaz and Kabak, 2020).…”

Section: Topic Modelling Resultsmentioning

confidence: 99%

Soft computing in business: exploring current research and outlining future research directions

Singh

Koohang

et al. 2023

IMDS

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PurposeThe primary aim of this study is to detail the use of soft computing techniques in business and management research. Its objectives are as follows: to conduct a comprehensive scientometric analysis of publications in the field of soft computing, to explore the evolution of keywords, to identify key research themes and latent topics and to map the intellectual structure of soft computing in the business literature.Design/methodology/approachThis research offers a comprehensive overview of the field by synthesising 43 years (1980–2022) of soft computing research from the Scopus database. It employs descriptive analysis, topic modelling (TM) and scientometric analysis.FindingsThis study's co-citation analysis identifies three primary categories of research in the field: the components, the techniques and the benefits of soft computing. Additionally, this study identifies 16 key study themes in the soft computing literature using TM, including decision-making under uncertainty, multi-criteria decision-making (MCDM), the application of deep learning in object detection and fault diagnosis, circular economy and sustainable development and a few others.Practical implicationsThis analysis offers a valuable understanding of soft computing for researchers and industry experts and highlights potential areas for future research.Originality/valueThis study uses scientific mapping and performance indicators to analyse a large corpus of 4,512 articles in the field of soft computing. It makes significant contributions to the intellectual and conceptual framework of soft computing research by providing a comprehensive overview of the literature on soft computing literature covering a period of four decades and identifying significant trends and topics to direct future research.

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Section: Topic Modelling Resultsmentioning

confidence: 99%

Soft computing in business: exploring current research and outlining future research directions

Singh

Koohang

et al. 2023

IMDS

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“…Due to the inherent uncertainty of the shipping industry, decision-making processes are more difficult and more crucial than in other industries and decision-makers as investors have always faced the difficulties of uncertainty when making an investment decision. Traditional methods are insufficient for investment evaluation under the uncertainty of the maritime industry (Celik Girgin et al 2018 ; Akan and Bayar 2021 ). Even though there are the investment methods, such as classic, type-1 fuzzy, intuitionistic fuzzy, hesitant fuzzy, and IT2FSs (Ucal Sari and Kahraman 2015 ), in terms of financial analysis for investment, we have proposed the IT2FSs depreciation methods to literature from the investment perspective.…”

Section: Discussionmentioning

confidence: 99%

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

Akan

Kiracı

2022

Soft Comput

Self Cite

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This study aims to propose a novel model for the determination of depreciation in an environment of uncertainty. In the study, amortization methods were modified through interval type-2 fuzzy, and a new approach was proposed to help investors make decisions in an environment of cash flow uncertainty. We provide options among different depreciation alternatives for the future investment decisions of maritime companies through the revision of the straight-line depreciation method and the double-declining balance depreciation method. The fuzzy depreciation alternatives we suggest in our study are not only suitable for maritime companies, but also companies in different industries.

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“…Lastly, the long-term ROI uncertainty encapsulates the overarching economic challenge in retrofitting projects [87]. Designs must not only address immediate financial feasibility but also project long-term economic returns.…”

Section: Economic Risks (Ec)mentioning

confidence: 99%

Retrofitting Technologies for Eco-Friendly Ship Structures: A Risk Analysis Perspective

Kolios

2024

JMSE

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This paper presents a detailed risk assessment framework tailored for retrofitting ship structures towards eco-friendliness. Addressing a critical gap in current research, it proposes a comprehensive strategy integrating technical, environmental, economic, and regulatory considerations. The framework, grounded in the Failure Mode, Effects, and Criticality Analysis (FMECA) approach, adeptly combines quantitative and qualitative methodologies to assess the feasibility and impact of retrofitting technologies. A case study on ferry electrification, highlighting options like fully electric and hybrid propulsion systems, illustrates the application of this framework. Fully Electric Systems pose challenges such as ensuring ample battery capacity and establishing the requisite charging infrastructure, despite offering significant emission reductions. Hybrid systems present a flexible alternative, balancing electric operation with conventional fuel to reduce emissions without compromising range. This study emphasizes a holistic risk mitigation strategy, aligning advanced technological applications with environmental and economic viability within a strict regulatory context. It advocates for specific risk control measures that refine retrofitting practices, guiding the maritime industry towards a more sustainable future within an evolving technological and regulatory landscape.

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An evaluation of ship investment in interval type-2 fuzzy environment

Cited by 8 publications

References 68 publications

Soft computing in business: exploring current research and outlining future research directions

Soft computing in business: exploring current research and outlining future research directions

A novel depreciation approach in an uncertain environment: interval type-2 fuzzy sets in the maritime industry

Retrofitting Technologies for Eco-Friendly Ship Structures: A Risk Analysis Perspective

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