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Article
The effect of magnetic field on the scintillation efficiency of organic scintillators
The fluorescence of different organic plastic and liquid scintillators has been measured as a function of magnetic fieldH up to 13 mT (milli tesla). In the case of NE213, NE230 and stilbene, the percentage change...
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Article
New decision-making hybrid model: intuitionistic fuzzy N-soft rough sets
In this paper, we introduce three novel hybrid models, namely, intuitionistic fuzzy N-soft sets (IFNSSs), N-soft rough intuitionistic fuzzy sets and intuitionistic fuzzy N-soft rough sets (IFNSRSs). We discuss so...
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Article
Hybrid models for decision-making based on rough Pythagorean fuzzy bipolar soft information
A Pythagorean fuzzy set model is a powerful tool for depicting fuzziness and uncertainty. In this paper, the notions of two novel hybrid models, namely Pythagorean fuzzy bipolar soft set model and rough Pythag...
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Article
Attributes reductions of bipolar fuzzy relation decision systems
Attribute reduction methods constitute a very important preprocessing step for artificial intelligence and pattern recognition. It has been investigated in contexts ranging from rough sets to soft sets. In thi...
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Article
Decision-Making Method Based on Fuzzy N-Soft Expert Sets
In this paper, we develop two novel hybrid models, namely N-soft expert set model and fuzzy N-soft expert set model. An N-soft expert set model is the combination of N-soft sets with soft expert sets, and a fuzzy...
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Article
Group decision-making approach under multi (Q, N)-soft multi granulation rough model
In this paper, we propose three novel hybrid models for multi-attribute decision-making, namely, multi Q-fuzzy N-soft sets [in short, multi (Q, N)-soft sets], multi (Q, N)-soft rough sets and multi (Q, N)-soft mu...
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Article
A hybrid decision-making framework using rough mF bipolar soft environment
In this article, we present the notions of two novel hybrid multi-attribute decision-making models, namely m-polar fuzzy bipolar soft set (mFBSS, for short) model and rough mFBSS model. These mathematical models ...
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Article
Novel MCGDM analysis under m-polar fuzzy soft expert sets
Multi-criteria group decision-making (MCGDM) is an approach to tackle different decision-making situations, where the criteria that drive the decision are considered by different experts. Research regarding MC...
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Article
Open AccessParameter reduction analysis under interval-valued m-polar fuzzy soft information
This paper formalizes a novel model that is able to use both interval representations, parameterizations, partial memberships and multi-polarity. These are differing modalities of uncertain knowledge that are ...
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Article
Multiattribute decision-making under Fermatean fuzzy bipolar soft framework
Fermatean fuzzy set theory is emerging as a novel mathematical tool to handle uncertainties in different domains of real world. Fermatean fuzzy sets were presented in order that uncertain information from qui...
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Article
Hybrid group decision-making technique under spherical fuzzy N-soft expert sets
This paper presents the concept of a new hybrid model called spherical fuzzy N-soft expert sets, which is an extension of spherical fuzzy soft expert sets. The proposed model is highly suitable to describe the mu...
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Article
Attribute reduction approaches under interval-valued q-rung orthopair fuzzy soft framework
The interval-valued q-rung orthopair fuzzy sets and soft sets are two different uncertainty theories to cope with incomplete and uncertain information in several real-world multi-attribute decision-making (MADM) ...
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Article
Open AccessGroup decision-making with Fermatean fuzzy soft expert knowledge
With the rapid growth of population, the global impact of solar technology is increasing by the day due to its advantages over other power production technologies. Demand for solar panel systems is soaring, th...
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Chapter
Group Decision-Making Analysis Under Interval-Valued q-rung Orthopair Fuzzy Soft Expert Sets
The pioneer paradigm of q-rung orthopair fuzzy sets was investigated by Yager in 2013, which extended the domains of both membership and non-membership values. Soft expert set theory is free from inherent complex...
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Article
Novel group decision-making method based on interval-valued m-polar fuzzy soft expert information
In mathematical modeling and decision analysis, the multipolar uncertainty is prevalent and requires specialized approaches. The theory of m-polar fuzzy (mF, in short) set is a strong extension of the fuzzy set b...
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Article
New MCDM applications using cubic bipolar fuzzy model in medicine and engineering
Nowadays, several fuzzy extensions of the elimination and selection transforming reality (ELECTRE) and The Order Preference by Similarity to Positive Ideal Solution (TOPSIS) methods are emerging as powerful ma...
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Article
Dual interval rough integrated cloud COPRAS method: a novel hybrid assessment model for remanufacturing system selection
Uncertain and fuzzy linguistic variables are oftenly used to express evaluation information of experts in group decision making approaches. To recognize the limits of human cognition and subjectivity of human ...
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Article
Multi-criteria group decision-making based on the combination of dual hesitant fuzzy sets with soft expert sets for the prediction of a local election scenario
Several existing group decision-making strategies and their hybrid models, such as soft expert sets (SESs), dual hesitant fuzzy sets (DHFSs), and hesitant fuzzy SESs, have proven to be valuable in resolving is...
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Article
Open AccessIdentification of desalination and wind power plants sites using m-polar fuzzy Aczel–Alsina aggregation information
Real-world decision-making problems often include multi-polar uncertainties dependent on multi-dimensional attributes. The m-polar fuzzy (mF) sets can efficiently handle such multi-faceted complications with T-no...
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Article
Extended ELECTRE method for multi-criteria group decision-making with spherical cubic fuzzy sets
Due to the quick advancement of computer technology, the relevance of information has increased significantly for the banking sector. Protecting information security has consequently become a top priority for ...
