Kholood Mohammad Alsager
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View article: Multi-Q Fermatean Hesitant Fuzzy Soft Sets and Their Application in Decision-Making
Multi-Q Fermatean Hesitant Fuzzy Soft Sets and Their Application in Decision-Making Open
The concept of Multi Q-Fermatean hesitant fuzzy soft sets (MQFHFSS), derived from the integration of multi-Q fuzzy soft sets and Fermatean hesitant fuzzy sets, can be applied in practice to optimise the resolution of complex multi-criteria…
View article: Enhancing Complex Decision-Making Under Uncertainty: Theory and Applications of q-Rung Neutrosophic Fuzzy Sets
Enhancing Complex Decision-Making Under Uncertainty: Theory and Applications of q-Rung Neutrosophic Fuzzy Sets Open
This thesis pioneers the development of q-Rung Neutrosophic Fuzzy Rough Sets (q-RNFRSs), establishing the first theoretical framework that integrates q-Rung Neutrosophic Sets with rough approximations to break through the conventional μq+η…
View article: Multi-criteria evaluation of tree species for afforestation in arid regions using a hybrid cubic bipolar fuzzy soft rough set framework
Multi-criteria evaluation of tree species for afforestation in arid regions using a hybrid cubic bipolar fuzzy soft rough set framework Open
Decision rules are effective tools for managing information and characterizing datasets. As a result, they contribute significantly to fuzzy rough-set theory-based decision-making procedures. Rough set theory (RS) is a robust method for an…
View article: Classification of H‐Circuits Having Different Length and Reduced Length of M‐Circuits on Quadratic Irrational Numbers
Classification of H‐Circuits Having Different Length and Reduced Length of M‐Circuits on Quadratic Irrational Numbers Open
The construction of circuits formed by reduced quadratic irrational numbers (RQINs) under the action of Mobius groups has attracted growing attention due to their deep algebraic structure and wide range of applications. Such orbits and cir…
View article: Fermatean $ m $-polar fuzzy soft rough sets with application to medical diagnosis
Fermatean $ m $-polar fuzzy soft rough sets with application to medical diagnosis Open
In this work, we introduce the concept of new approximate fuzzy structures, specifically Fermatean $ m $-polar fuzzy soft rough sets (FMPFSRSs), a novel hybrid structure that combines soft sets, rough sets, Fermatean fuzzy sets, and $ m $-…
View article: Synergy of machine learning and the Einstein Choquet integral with LOPCOW and fuzzy measures for sustainable solid waste management
Synergy of machine learning and the Einstein Choquet integral with LOPCOW and fuzzy measures for sustainable solid waste management Open
Solid waste management (SWM) protects public health, the environment, and limited resources in densely populated and urbanized countries such as Singapore. This work presents an advanced framework for optimizing SWM using advanced mathemat…
View article: AI-Driven LOPCOW-AROMAN Framework and Topological Data Analysis Using Circular Intuitionistic Fuzzy Information: Healthcare Supply Chain Innovation
AI-Driven LOPCOW-AROMAN Framework and Topological Data Analysis Using Circular Intuitionistic Fuzzy Information: Healthcare Supply Chain Innovation Open
Artificial intelligence (AI) stands out as a significant technological innovation, driving progress in diverse areas such as big data analysis, supply chain management, energy efficiency, sustainable development, etc. The present study inv…
View article: Rough and T-Rough Sets Arising from Intuitionistic Fuzzy Ideals in BCK-Algebras
Rough and T-Rough Sets Arising from Intuitionistic Fuzzy Ideals in BCK-Algebras Open
This paper presents the novel concept of rough intuitionistic fuzzy ideals within the realm of BCK-algebras and investigates their fundamental properties. Furthermore, we introduce a set-valued homomorphism over a BCK-algebra, laying the f…
View article: Applications of Caputo-Type Fractional Derivatives for Subclasses of Bi-Univalent Functions with Bounded Boundary Rotation
Applications of Caputo-Type Fractional Derivatives for Subclasses of Bi-Univalent Functions with Bounded Boundary Rotation Open
In this article, for the first time by using Caputo-type fractional derivatives, we introduce three new subclasses of bi-univalent functions associated with bounded boundary rotation in an open unit disk to obtain non-sharp estimates of th…
View article: Multi-Q Cubic Bipolar Fuzzy Soft Sets and Cosine Similarity Methods for Multi-Criteria Decision Making
Multi-Q Cubic Bipolar Fuzzy Soft Sets and Cosine Similarity Methods for Multi-Criteria Decision Making Open
This study introduces a novel mathematical tool for representing imprecise and ambiguous data: the multi-q cubic bipolar fuzzy soft set. Building upon established bipolar fuzzy sets and soft sets, this paper fist defines the concept of mul…
View article: Subclasses of Bi-Univalent Functions Connected with Caputo-Type Fractional Derivatives Based upon Lucas Polynomial
Subclasses of Bi-Univalent Functions Connected with Caputo-Type Fractional Derivatives Based upon Lucas Polynomial Open
In the current paper, we introduce new subclasses of analytic and bi-univalent functions involving Caputo-type fractional derivatives subordinating to the Lucas polynomial. Furthermore, we find non-sharp estimates on the first two Taylor–M…
View article: Coefficient Functionals of Sakaguchi-Type Starlike Functions Involving Caputo-Type Fractional Derivatives Subordinated to the Three-Leaf Function
Coefficient Functionals of Sakaguchi-Type Starlike Functions Involving Caputo-Type Fractional Derivatives Subordinated to the Three-Leaf Function Open
A challenging part of studying geometric function theory is figuring out the sharp boundaries for coefficient-related problems that crop up in the Taylor–Maclaurin series of univalent functions. Using Caputo-type fractional derivatives to …
View article: A New Approach of Complex Fuzzy Ideals in BCK/BCI-Algebras
A New Approach of Complex Fuzzy Ideals in BCK/BCI-Algebras Open
The concept of complex fuzzy sets, where the unit disk of the complex plane acts as the codomain of the membership function, as an extension of fuzzy sets. The objective of this article is to use complex fuzzy sets in BCK/BCI-algebras. We …
View article: M-polar Q-hesitant Anti-fuzzy Set in BCK/BCI-algebras
M-polar Q-hesitant Anti-fuzzy Set in BCK/BCI-algebras Open
The main objective of this paper is to effectively define a new concept of the fabulous fuzzy set theory that is called m-polar Q-hesitant anti-fuzzy set and apply it to the BCK/BCI-algebras. The m-polar Q-hesitant anti-fuzzy set is an ast…
View article: Crossing cubic Lie algebras
Crossing cubic Lie algebras Open
An interval-valued fuzziness structure is an effective approach addressing ambiguity and for expressing people's hesitation in everyday situations. An $ \mathcal{N} $-structure is a novel technique for solving practical problems. This is b…
View article: Novel linguistic $ q $-rung orthopair fuzzy Aczel-Alsina aggregation operators for group decision-making with applications
Novel linguistic $ q $-rung orthopair fuzzy Aczel-Alsina aggregation operators for group decision-making with applications Open
In this article, we presented two novel approaches for group decision-making (GDM) that were derived from the initiated linguistic $ q $-rung orthopair fuzzy Aczel-Alsina weighted arithmetic (L$ q $-ROFAAWA) aggregation operator (AgOp) usi…
View article: Extending neutrosophic set theory: Cubic bipolar neutrosophic soft sets for decision making
Extending neutrosophic set theory: Cubic bipolar neutrosophic soft sets for decision making Open
This research introduced cubic bipolar neutrosophic sets (CBNSs), a novel framework that significantly enhanced the capabilities of bipolar neutrosophic sets (BNSs) in handling uncertainty and vagueness within data analysis. By integrating…
View article: Novel Heronian mean based $ m $-polar fuzzy power geometric aggregation operators and their application to urban transportation management
Novel Heronian mean based $ m $-polar fuzzy power geometric aggregation operators and their application to urban transportation management Open
An $ m $-polar fuzzy ($ m $F) model offers a practical framework for decision-making by providing higher flexibility in handling uncertainties and preferences. The ability of $ m $F sets to tackle multiple reference points permits for a mo…
View article: Some results for the family of holomorphic functions associated with the Babalola operator and combination binomial series
Some results for the family of holomorphic functions associated with the Babalola operator and combination binomial series Open
In this paper, we define a new class $ \mathcal{R}_{t, \delta, \upsilon }^{m, n, \sigma }\left(\mathcal{A}, \mathcal{B}\right) $ of holomorphic functions in the open unit disk defined connected with the combination binomial series and Baba…
View article: n-polar Z-hesitant Complementary Fuzzy Soft Set in BCK/BCI-Algebras
n-polar Z-hesitant Complementary Fuzzy Soft Set in BCK/BCI-Algebras Open
This paper introduces an innovative concept known as n-polar Z-hesitant Anti-Fuzzy Soft Sets (MZHAFSs) within the framework of BCK/BCI-algebras. Soft set theory originates in the captivating field of fuzzy set theory. Our approach is a har…
View article: Q-Multi Cubic Pythagorean Fuzzy Sets and Their Correlation Coefficients for Multi-Criteria Group Decision Making
Q-Multi Cubic Pythagorean Fuzzy Sets and Their Correlation Coefficients for Multi-Criteria Group Decision Making Open
Q-multi cubic Pythagorean fuzzy sets (Q-mCPFSs) are influential, effective and symmetrical for representing uncertain and imprecise information in decision making processes. Q-mCPFSs extend the concept of Q-multi fuzzy sets by introducing …
View article: Generalized Ideals of BCK/BCI-Algebras Based on MQHF Soft Set with Application in Decision Making
Generalized Ideals of BCK/BCI-Algebras Based on MQHF Soft Set with Application in Decision Making Open
The purpose of this study is to generalize the concept of Q -hesitant fuzzy sets and soft set theory to Q -hesitant fuzzy soft sets. The Q -hesitant fuzzy set is an admirable hybrid property, specially developed by the new generalize…
View article: Certain Concepts of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" id="M1"> <a:mi mathvariant="script">Q</a:mi> </a:math>-Hesitant Fuzzy Ideals
Certain Concepts of Q -Hesitant Fuzzy Ideals Open
The hesitant fuzzy set model has attracted the interest of scholars in various fields. The striking framework of hesitant fuzzy sets is keen to provide a larger domain of preference for fuzzy information modeling of deployment membership. …
View article: Decision-Making Framework Based on Multineutrosophic Soft Rough Sets
Decision-Making Framework Based on Multineutrosophic Soft Rough Sets Open
The uncertain data appear in majority of real-world phenomena regarding business, engineering, manufacturing, industries, medical, and other social fields. The neutrosophic sets (NSs), soft sets (SSs), and rough sets (RSs) are distinct mat…
View article: A New Optimization Approach Based on Bipolar Type-2 Fuzzy Soft Sets
A New Optimization Approach Based on Bipolar Type-2 Fuzzy Soft Sets Open
The main objective of this research study is to amplify the schematic representation of human reasoning by launching the most generalized fantastic theories of bipolar type-2 fuzzy set (BT2FS) and bipolar type-2 fuzzy soft set (BT2FS …
View article: Single Valued Neutrosophic Hesitant Fuzzy Rough Set and Its Application
Single Valued Neutrosophic Hesitant Fuzzy Rough Set and Its Application Open
In this paper, we proposed the notion of single valued neutrosophic hesitant fuzzy rough set, by combining single valued neutrosophic hesitant fuzzy set and rough set. The combination of single valued neutrosophic hesitant fuzzy set and ro…
View article: A Decision-Making Approach Based on a Multi Q-Hesitant Fuzzy Soft Multi-Granulation Rough Model
A Decision-Making Approach Based on a Multi Q-Hesitant Fuzzy Soft Multi-Granulation Rough Model Open
In this paper, we propose a new hybrid model, multi Q-hesitant fuzzy soft multi-granulation rough set model, by combining a multi Q-hesitant fuzzy soft set and multi-granulation rough set. We demonstrate some useful properties of these mul…