Harish Garg
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View article: Schweizer-Sklar power aggregation operators and EDAS model for circular interval-valued (p, q)-rung orthopair fuzzy sets & its application to green supply chain management
Schweizer-Sklar power aggregation operators and EDAS model for circular interval-valued (p, q)-rung orthopair fuzzy sets & its application to green supply chain management Open
Lifecycle Assessment is an automatic and systematic technique used to address or ensure the ecological or green impacts linked with many of the phases of a product's life from raw substantial removal to recycling or disposal. In green supp…
View article: Multi-attributive border approximation area comparison model based on Sugeno-Weber power fuzzy linguistic variables with Z-number information
Multi-attributive border approximation area comparison model based on Sugeno-Weber power fuzzy linguistic variables with Z-number information Open
The tool of fuzzy Z-number linguistic term (FZNLT) set is significant and dominant because it integrates fuzzy set theory, linguistic set theory, Z-number theory, and uncertainty, allowing for massive accurate, and precise interpretation o…
View article: A novel combined framework for short-term wind speed forecasting based on data preprocessing with sequence reconstruction and Grey Wolf optimization
A novel combined framework for short-term wind speed forecasting based on data preprocessing with sequence reconstruction and Grey Wolf optimization Open
View article: A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller
A Hybrid Meta-heuristic Algorithm for Optimum Micro-robotic Position Control with PID Controller Open
The present paper aims to propose a novel hybrid algorithm, where the Arithmetic Optimization Algorithm (AOA) and Rat Swarm Optimization (RSO) are employed for the proportional-integral-derivative (PID) controller to control the position o…
View article: Decision-making framework with q-rung picture fuzzy linguistic information and its applications to logistics hubs during disaster response establishment
Decision-making framework with q-rung picture fuzzy linguistic information and its applications to logistics hubs during disaster response establishment Open
In the decision-making matrix of modern interactive multi-attribute group decision-making (MAGDM) models, we find such syntactic-semantic forms of presentation of experts' cognitive information that thoroughly ensure the expert's maximum i…
View article: Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system
Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system Open
Republicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduct…
View article: Einstein Aggregation Operator Technique for Linguistic q-Rung Orthopair Fuzzy Hypersoft Set With Application to Sustainable Construction Industry
Einstein Aggregation Operator Technique for Linguistic q-Rung Orthopair Fuzzy Hypersoft Set With Application to Sustainable Construction Industry Open
The unclear and vague information, subjective assessments, and the languages spoken with diversity in these domains are some of the linguistic features that complicate the decision-making process in the construction industry. Language-spec…
View article: A decision-making algorithm with circular complex intuitionistic fuzzy information and their application in cognitive wireless communications
A decision-making algorithm with circular complex intuitionistic fuzzy information and their application in cognitive wireless communications Open
Cognitive wireless communications is a model or technique that is used to combine cognitive radio technology with wireless communication systems. They are used for the adaptation and optimization of different devices, networks, and systems…
View article: Retraction Note: Mathematical analysis of COVID-19 pandemic by using the concept of SIR model
Retraction Note: Mathematical analysis of COVID-19 pandemic by using the concept of SIR model Open
View article: Associated Probabilities’ Aggregations in Fuzzy Collaborative Filtering Recommender System Prediction
Associated Probabilities’ Aggregations in Fuzzy Collaborative Filtering Recommender System Prediction Open
In this article, the expert evaluations transformed in the multi-attribute decision-making (MADM) model are presented in the discrimination q-rung picture linguistic fuzzy numbers (q-RPLFNs). In the construction of a second-order additive …
View article: EDAS method for circular pythagorean fuzzy with improved Dombi power aggregation operators and their application in policy analysis and decision support systems
EDAS method for circular pythagorean fuzzy with improved Dombi power aggregation operators and their application in policy analysis and decision support systems Open
A circular Pythagorean fuzzy set is a very dominant and reliable technique for coping with uncertain and vague information in genuine life problems because it contains the membership function, non-membership function, and radius between bo…
View article: A novel BWM-entropy-COPRAS group decision framework with spherical fuzzy information for digital supply chain partner selection
A novel BWM-entropy-COPRAS group decision framework with spherical fuzzy information for digital supply chain partner selection Open
The transformation and upgrading of traditional supply chain models through digital technology receive widespread attention from the fields of circular economy, manufacturing, and sustainable development. Enterprises need to choose a digit…
View article: A Group Decision-making Algorithm to Analyses Risk Evaluation of Hepatitis with Sine Trigonometric Laws under Bipolar Complex Fuzzy Sets Information.
A Group Decision-making Algorithm to Analyses Risk Evaluation of Hepatitis with Sine Trigonometric Laws under Bipolar Complex Fuzzy Sets Information. Open
The risk evaluation of Hepatitis can be regarded as a decision-making problem since it requires the analysis of some factors to identify the probability of the development or the progression of the disease in the patient. This process invo…
View article: deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks Open
View article: Integrating fuzzy metrics and negation operator in FCM algorithm via genetic algorithm for MRI image segmentation
Integrating fuzzy metrics and negation operator in FCM algorithm via genetic algorithm for MRI image segmentation Open
In this study, we redefine FCM algorithm by integrating fuzzy set theory, fuzzy metrics, and Sugeno negation principles. This innovative approach overcomes the limitations inherent in conventional machine learning models, especially in sit…
View article: An integrated group decision-making framework for assessing S3PRLPs based on MULTIMOORA-WASPAS with q-rung orthopair fuzzy information
An integrated group decision-making framework for assessing S3PRLPs based on MULTIMOORA-WASPAS with q-rung orthopair fuzzy information Open
Sustainable third-party reverse logistics has gradually risen to prominence as a component of contemporary commercial development as a result of the acceleration of global economic integration and the prominent growth of information techno…
View article: A blockchain-based hybrid encryption technique with anti-quantum signature for securing electronic health records
A blockchain-based hybrid encryption technique with anti-quantum signature for securing electronic health records Open
Electronic health records (EHRs) are important for the efficient management of healthcare data. However, Healthcare data travels across an open route, i.e., the Internet, making EHR security a difficult process to do. This puts healthcare …
View article: A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023
A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023 Open
The field of nature inspired algorithm (NIA) is a vital area of research that consistently aids in solving optimization problems. One of the metaheuristic algorithm classifications that has drawn attention from researchers in recent decade…
View article: The State of Lithium-Ion Battery Health Prognostics in the CPS Era
The State of Lithium-Ion Battery Health Prognostics in the CPS Era Open
Lithium-ion batteries (Li-ion) have revolutionized energy storage technology, becoming integral to our daily lives by powering a diverse range of devices and applications. Their high energy density, fast power response, recyclability, and …
View article: Aczel-Alsina power bonferroni aggregation operators for picture fuzzy information and decision analysis
Aczel-Alsina power bonferroni aggregation operators for picture fuzzy information and decision analysis Open
Picture fuzzy set (PFS) is an expedient mathematical approach for interpreting imprecise and nebulous information, and the power Bonferroni mean (PBM) operator is a crucial generalization of the power average (PA) operator, and the Bonferr…
View article: An extended SECA-GDM method considering flexible linguistic scale optimization and its application in occupational health and safety risk assessment
An extended SECA-GDM method considering flexible linguistic scale optimization and its application in occupational health and safety risk assessment Open
Experts have shifted from precise numerical representations to more complex linguistic representations in response to the growing complexity of occupational health and safety (OHS) risk assessment problems. However, there are more difficul…
View article: A novel CE-PT-MABAC method for T-spherical uncertain linguistic multiple attribute group decision-making
A novel CE-PT-MABAC method for T-spherical uncertain linguistic multiple attribute group decision-making Open
A T-spherical uncertain linguistic set (TSULS) is not only an expanded form of the T-spherical fuzzy set and the uncertain linguistic set but can also integrate the quantitative judging ideas and qualitative assessing information of decisi…
View article: An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation
An indeterminacy fusion of encoder-decoder network based on neutrosophic set for white blood cells segmentation Open
Medical image analysis, particularly the segmentation of White Blood Cells (WBCs), holds critical importance in scrutinizing the quantity and morphology of these cells in smear images, a pivotal step in disease detection. Existing methodol…
View article: Multi attribute decision-making algorithms using Hamacher Choquet-integral operators with complex intuitionistic fuzzy information
Multi attribute decision-making algorithms using Hamacher Choquet-integral operators with complex intuitionistic fuzzy information Open
The Choquet integral is a fuzzy measure that serves as an effective aggregation operator for combining a limited number of components into a single set. In 1978, Hamacher introduced the Hamacher t-norm and t-conorm, an expanded version of …
View article: Corrigendum to “An Easy‐to‐Understand Method to Construct Desired Distance‐Like Measures”
Corrigendum to “An Easy‐to‐Understand Method to Construct Desired Distance‐Like Measures” Open
View article: Selection of best enterprise resource planning system by using Hamy mean operator with complex spherical fuzzy information
Selection of best enterprise resource planning system by using Hamy mean operator with complex spherical fuzzy information Open
Numerous fuzzy structures have been created and studied up to this point in order to investigate objects under ambiguity. Among them, the structure of complex spherical fuzzy set is significant because it can define the four prospective as…
View article: Uncertainty and decision-making with multi-polar interval-valued neutrosophic hypersoft set: A distance, similarity measure and machine learning approach
Uncertainty and decision-making with multi-polar interval-valued neutrosophic hypersoft set: A distance, similarity measure and machine learning approach Open
The issue of decision-making (DM) is intricate due to the environment's ambiguous, imprecise, and uncertain nature, particularly when multiple attributes are involved and further subdivided. To address such complex problems, the concept of…
View article: Prioritized aggregation operators based on Schweizer-Sklar t-norm for linear Diophantine fuzzy sets and their application in green sustainable chain
Prioritized aggregation operators based on Schweizer-Sklar t-norm for linear Diophantine fuzzy sets and their application in green sustainable chain Open
Schweizer and Sklar invented the idea of the Schweizer-Sklar t-norm and Schweizer-Sklar t-conorm in 1960. Additionally, prioritized aggregation operators were derived by Yager in 2008. Further, linear Diophantine fuzzy (LDF) information is…
View article: A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems
A Novel Hybrid MSA-CSA Algorithm for Cloud Computing Task Scheduling Problems Open
Recently, the dynamic distribution of resources and task scheduling has played a critical role in cloud computing to achieve maximum storage and performance. The allocation of computational tasks in the cloud is a complicated process that …
View article: Multi-attribute decision-making approach based on Aczel-Alsina power aggregation operators under bipolar fuzzy information & its application to quantum computing
Multi-attribute decision-making approach based on Aczel-Alsina power aggregation operators under bipolar fuzzy information & its application to quantum computing Open
The main aim of this paper is to present a new multi-attribute decision-making (MADM) approach for solving the problems under the uncertain and complex environment. The key challenges during any MADM problem are how to quantify the objecti…