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A Bibliometric Analysis of Fuzzy Real Options in Decision-Making

  • Ionuț Nica*
  • , Jani Kinnunen
  • , Irina Georgescu
  • , Nora Chirita
  • *Korresponderande författare för detta arbete

Forskningsoutput: Kapitel i bok/konferenshandlingPublicerad konferensartikelVetenskapligPeer review

1 Citeringar (Scopus)

Sammanfattning

Fuzzy real options represent a powerful tool for decision-making under uncertainty, combining the strategic valuation of real options with the flexibility of fuzzy logic to handle imprecision and ambiguity. This study presents a bibliometric analysis of the scientific literature on fuzzy real options, based on 203 documents indexed in the Scopus and Web of Science databases between 1987 and 2024. Using RStudio, Bibliometrix platform, the analysis explores publication trends, influential authors, institutions, journals, thematic structures, and international collaborations. Findings reveal a growing interest in the topic, especially after 2005, with key contributions from researchers such as Kahraman, Collan, Tolga, and Luukka. Conceptual mapping identifies three major research directions: project evaluation, fuzzy modeling techniques, and optimization-based approaches. This research highlights the interdisciplinary nature of the field, linking finance, soft computing, and strategic decision-making. This study provides a structured overview of the field and highlights emerging areas and collaboration dynamics. It serves as a foundation for scholars and practitioners seeking to understand the evolution and practical relevance of fuzzy real options in complex decision-making environments.

OriginalspråkEngelska
Titel på värdpublikationIntelligent and Fuzzy Systems - Artificial Intelligence in Human-Centric, Resilient and Sustainable Industries, Proceedings of the INFUS 2025 Conference
RedaktörerCengiz Kahraman, Basar Oztaysi, Selcuk Cebi, Sezi Cevik Onar, Cagri Tolga, Irem Ucal Sari, Irem Otay
FörlagSpringer Science and Business Media Deutschland GmbH
Sidor764-771
Antal sidor8
ISBN (elektroniskt)978-3-031-97985-9
ISBN (tryckt)978-3-031-97984-2
DOI
StatusPublicerad - 29 juli 2025
MoE-publikationstypA4 Artikel i en konferenspublikation
Evenemang7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025 - Istanbul, Turkiet
Varaktighet: 29 juli 202531 juli 2025

Publikationsserier

NamnLecture Notes in Networks and Systems
Volym1528 LNNS
ISSN (tryckt)2367-3370
ISSN (elektroniskt)2367-3389

Konferens

Konferens7th International Conference on Intelligent and Fuzzy Systems, INFUS 2025
Land/TerritoriumTurkiet
OrtIstanbul
Period29/07/2531/07/25

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