Regret theory-based three-way decision model in hesitant fuzzy environments and its application to medical decision

J Wang, X Ma, Z Xu, J Zhan - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
In real world, a typical decision-making problem in the medical field can be seen as an
uncertain hesitant fuzzy multiattribute decision-making problem when existing experiences …

Operations research and analytics to combat human trafficking: A systematic review of academic literature

GL Dimas, RA Konrad, K Lee Maass, AC Trapp - PloS one, 2022 - journals.plos.org
Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …

Density-weighted support vector machines for binary class imbalance learning

BB Hazarika, D Gupta - Neural Computing and Applications, 2021 - Springer
In real-world binary classification problems, the entirety of samples belonging to each class
varies. These types of problems where the majority class is notably bigger than the minority …

A three-way decision method under probabilistic linguistic term sets and its application to Air Quality Index

X Han, C Zhang, J Zhan - Information Sciences, 2022 - Elsevier
As decision-making problems become increasingly complicated nowadays, a growing
number of decision-makers are likely to use probabilistic linguistic term sets (PLTSs) rather …

Type-2 intuitionistic fuzzy matrix games based on a new distance measure: Application to biogas-plant implementation problem

S Karmakar, MR Seikh, O Castillo - Applied Soft Computing, 2021 - Elsevier
In reality, to deal with uncertain information, researchers have introduced several extensions
of fuzzy sets. But, in most cases, two-dimensional fuzzy sets (considering elements with their …

[PDF][PDF] Multi-objective linguistic-neutrosophic matrix game and its applications to tourism management.

A Bhaumik, SK Roy, GW Weber - Journal of Dynamics & Games, 2021 - academia.edu
Game theory plays an important role in numerous decision-oriented real-life problems.
Nowadays, many such problems are basically characterized by various uncertainties …

A fuzzy interval time-series energy and financial forecasting model using network-based multiple time-frequency spaces and the induced-ordered weighted averaging …

G Liu, F Xiao, CT Lin, Z Cao - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
Forecasting time series is an emerging topic in operational research. Existing time-series
models have limited prediction accuracy when faced with the characteristics of nonlinearity …

An extended ITL-VIKOR model using triangular fuzzy numbers for applications to water-richness evaluation

X Qu, J Han, L Shi, X Qu, A Bilal, M Qiu… - Expert Systems with …, 2023 - Elsevier
Jiaozuo coalfield is the most typical in Northern China type coalfield. When it mined the
Permian coal seams, it was threatened by water inrush from the confined aquifer of thin karst …

Linguistic Pythagorean hesitant fuzzy matrix game and its application in multi-criteria decision making

J Jana, SK Roy - Applied Intelligence, 2023 - Springer
In this study, a new Linguistic Pythagorean Hesitant Fuzzy Set (LPHFS) is introduced by
considering the notions of linguistic fuzzy set and Pythagorean hesitant fuzzy set. LPHFS is …

Solution of matrix games with rough interval pay‐offs and its application in the telecom market share problem

MR Seikh, S Dutta, DF Li - International Journal of Intelligent …, 2021 - Wiley Online Library
Rough interval (RI) is an appropriate generalization of the crisp interval and is very much
useful to express uncertain parameters or partially unknown variables when they contain …