A novel method for group decision making with interval-valued Atanassov intuitionistic fuzzy preference relations

S Wan, G Xu, J Dong - Information Sciences, 2016 - Elsevier
This paper investigates the group decision making (GDM) problems with interval-valued
Atanassov intuitionistic fuzzy preference relations (IV-AIFPRs) and develops a novel method …

Hesitant fuzzy multiattribute matching decision making based on regret theory with uncertain weights

Y Lin, YM Wang, SQ Chen - International Journal of Fuzzy Systems, 2017 - Springer
An approach based on regret theory with hesitant fuzzy analysis is presented in a context of
multiattribute matching decision making where the relative weights are uncertain. There are …

A dynamic group decision making process for high number of alternatives using hesitant Fuzzy Ontologies and sentiment analysis

JA Morente-Molinera, FJ Cabrerizo, J Mezei… - Knowledge-Based …, 2020 - Elsevier
The high spread of Internet and social networks have completely changed the way that
Group Decision Making methods are designed, developed and implemented. Experts now …

Applying a linguistic multi-criteria decision-making model to the analysis of ICT suppliers' offers

A Cid-López, MJ Hornos, RA Carrasco… - Expert Systems with …, 2016 - Elsevier
Tender analysis processes are everyday processes in any company, but they become even
more important when the financial resources are limited. Achieving optimal and transparent …

Incomplete interval-valued probabilistic uncertain linguistic preference relation in group decision making

S Wu, G Zhang - Expert Systems with Applications, 2024 - Elsevier
In group decision making (GDM), due to complexity of various factors, decision makers
(DMs) often provide incomplete preference relations (PRs) in preference matrix. Interval …

A framework for context-aware heterogeneous group decision making in business processes

C De Maio, G Fenza, V Loia, F Orciuoli… - Knowledge-Based …, 2016 - Elsevier
Abstract In Business Process Management great attention is given to Computational
Intelligence for supporting process life-cycle. Several approaches have been defined to …

Fuzzy RDF knowledge graph embeddings through vector space model

X Zhang, Z Ma - IEEE Transactions on Fuzzy Systems, 2022 - ieeexplore.ieee.org
Resource description framework (RDF) is a World Wide Web consortium recommendation
and has been widely accepted for semantic data models (eg, knowledge graphs). As such, a …

Probabilistic linguistic preference relation-based decision framework for multi-attribute group decision making

R Krishankumar, KS Ravichandran, MI Ahmed, S Kar… - Symmetry, 2018 - mdpi.com
With trending competition in decision-making process, linguistic decision-making is gaining
attractive attention. Previous studies on linguistic decision-making have neglected the …

Modeling fuzzy data with RDF and fuzzy relational database models

Z Ma, L Yan - International Journal of Intelligent Systems, 2018 - Wiley Online Library
Abstract The Resource Description Framework (RDF) is a flexible model for representing
information about resources on the Web. As a World Wide Web Consortium …

An ontology-based approach for knowledge acquisition: an example of sustainable supplier selection domain corpus

A Konys - Electronics, 2022 - mdpi.com
Selecting the right supplier is a critical decision in sustainable supply chain management.
Sustainable supplier selection plays an important role in achieving a balance between the …