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akaturk Akademik ölçüm

Makale detayı · 2022

Operational risk analysis in business processes using decomposed fuzzy sets

Dergi

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

ISSN 1064-1246

ISSN kaydı başka bir dergiye işaret ediyor; ad YÖKSİS kaydından.

YÖKSİS OpenAlex SJR Q2 JCR Q4 Atıf 53 Üst %10 Yüzdelik 98.0% FWCI 7.74
Yıl
2022
Tür
article

Veri kaynağı ayrımı

  • YÖKSİS YÖKSİS makale kaydı
  • YÖKSİS dergi adı JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Katalog eşleşmesi (ISSN) Journal of Intelligent and Fuzzy Systems
  • OpenAlex OpenAlex zenginleştirmesi (özet, atıf, konular)

Özet

OpenAlex · İngilizce

Risk assessment takes place depending on the expertise and subjective linguistic assessments of experts. Expert judgements are collected via a questionnaire or an interview including qualitative data. Pessimistic or optimistic status of experts can affect their perceptions on risk. Furthermore, expert judgments are affected by questions’ structure based on whether it is a positive type question (e.g., ‘What is the occurrence probability of the accident?) or a negative type question (e.g., ‘What is the non-occurrence probability of the accident?). All of these cases create uncertainties in the risk assessment process. For this reason, there are various studies using fuzzy risk analysis models to address these uncertainties in risk assessment. However, there is not any risk assessment tool that considers the uncertainties caused by the factors mentioned above, simultaneously. Therefore, in this paper, we introduce the concept of decomposed fuzzy sets (DFS) to model human thoughts and perceptions in a more realistic and detailed way through optimistic and pessimistic membership functions. We present the basic operations on decomposed fuzzy sets and their properties. To demonstrate the utility of the proposed method, the method is applied to operational risk analysis in business processes. The data used in the application are collected from the managerial board of a construction company. The application results and advantages of the proposed method are presented together with a comparative analysis.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

53 atıf

OpenAlex cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 26 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. Consideration of reciprocal judgments through Decomposed Fuzzy Analytical Hierarchy Process: A case study in the pharmaceutical industry 2023 Atıf 62 · OpenAlex
  2. Risk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach 2023 Atıf 28 · OpenAlex
  3. Risk analysis in the food cold chain using Decomposed fuzzy set-based FMEA approach 2023 Atıf 28 · OpenAlex
  4. Risk Analysis in the Food Cold Chain Using Decomposed Fuzzy Set-Based FMEA Approach 2023 Atıf 28 · OpenAlex
  5. A novel approach for multi-criteria decision making: Extending the WASPAS method using decomposed fuzzy sets 2024 Atıf 27 · OpenAlex
  6. A novel approach for multi-criteria decision making: Extending the WASPAS method using decomposed fuzzy sets 2024 Atıf 27 · OpenAlex
  7. Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs 2023 Atıf 22 · OpenAlex
  8. Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs 2023 Atıf 22 · OpenAlex
  9. A novel decomposed Z-fuzzy TOPSIS method with functional and dysfunctional judgments: An application to transfer center location selection 2023 Atıf 21 · OpenAlex
  10. Pharmaceutical 3PL supplier selection using interval-valued intuitionistic fuzzy TOPSIS 2022 Atıf 9 · OpenAlex

Yazarlar

  1. SELÇUK ÇEBİ YILDIZ TEKNİK ÜNİVERSİTESİ
  2. FATMA KUTLU GÜNDOĞDU
  3. CENGİZ KAHRAMAN