Saleem Abdullah
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View article: Optimizing biofortified crop selection: a novel feed-backward double hierarchy linguistic neural network approach with Yager-Dombi t-norms
Optimizing biofortified crop selection: a novel feed-backward double hierarchy linguistic neural network approach with Yager-Dombi t-norms Open
View article: Emergency hospital selection in Peshawar using fractional Diophantine neural network for risky decision-making
Emergency hospital selection in Peshawar using fractional Diophantine neural network for risky decision-making Open
In emergency medical scenarios, rapid and accurate hospital selection is crucial, especially in densely populated urban areas like Peshawar, Pakistan. This study proposes a novel hybrid decision-making model called the Fractional Diophanti…
View article: Application of fractional fuzzy soft sets using hamacher aggregation operators in agriculture robots selection
Application of fractional fuzzy soft sets using hamacher aggregation operators in agriculture robots selection Open
View article: Acute Insecticides Mixture Induced Oxidative Stress, DNA Damage and Nuclear Abnormalities in Three Economically Important Freshwater Species Catla catla, Cirrhina mrigala, and Labeo rohita
Acute Insecticides Mixture Induced Oxidative Stress, DNA Damage and Nuclear Abnormalities in Three Economically Important Freshwater Species Catla catla, Cirrhina mrigala, and Labeo rohita Open
Insecticides are the most significant pollutants that negatively affect the aquatic ecosystem globally. They are extensively applied in various industries and agriculture to manage the pests and weeds. The freshwater ecosystems are especia…
View article: Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers
Analyzing industrial robot selection based on a fuzzy neural network under triangular fuzzy numbers Open
It is difficult to select a suitable robot for a specific purpose and production environment among the many different models available on the market. For a specific purpose in industry, a Pakistani production company needs to select the mo…
View article: Novel concept of linguistic fractional fuzzy information for effective water filtration decision-making problem based on WASPAS method
Novel concept of linguistic fractional fuzzy information for effective water filtration decision-making problem based on WASPAS method Open
The main purpose of water filtration techniques is to eliminate poisonous chemicals and microbes from sources of water in order to provide clear and safe water. Water purification is necessary for supplying the vital need for clean water t…
View article: A novel decision-making approach using three-way decision in fractional fuzzy environment
A novel decision-making approach using three-way decision in fractional fuzzy environment Open
Multi-criteria decision-making approach serves as a prominent method for addressing authentic real-world scenarios and exploring optimal solutions by taking into account relevant criteria or attributes. Decision making in the context of un…
View article: Analysis of anti-cancer treatment therapies based on TOPSIS method under fractional Diophantine fuzzy Muirhead mean operators
Analysis of anti-cancer treatment therapies based on TOPSIS method under fractional Diophantine fuzzy Muirhead mean operators Open
View article: Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets
Enhancing public art communication through emotional intelligence based on type-2 fractional fuzzy sets Open
Emotional intelligence (EI) is effective ways for understanding others' emotions and communicating with empathy. It is apparent that EI is filled with ambiguity as well as uncertainty because of its immediate connection to humans. To handl…
View article: Application of fuzzy credibility graph in climate mitigation strategy assessment
Application of fuzzy credibility graph in climate mitigation strategy assessment Open
The challenges posed to our environment by climate change are immense and are increasing every day. Its impacts on ecosystems, weather patterns, and human health are extensive. It is imperative that we tackle climate change to save the env…
View article: A Fuzzy Neural Network Approach for Nanomaterials Analysis in Nanoelectronics Under Fuzzy Credibility Information
A Fuzzy Neural Network Approach for Nanomaterials Analysis in Nanoelectronics Under Fuzzy Credibility Information Open
Nanomaterials are a key component of nanoelectronics and selecting the most suitable nanomaterial for nanoelectronics remains a significant challenge for companies. The classical decision making process is often difficult and uncertain whe…
View article: Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information
Extended version of decision making model for industrial robot selection via fractional continuous fuzzy information Open
Fractional fuzzy sets are widely used in decision-making problems; however, they often face limitations in accurately modeling membership and non-membership values. These sets are considered classical models because they use only specific …
View article: Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection
Framework development of continuous non-linear Diophantine fuzzy sets and its application to renewable energy source selection Open
Fuzzy sets play a central role in decision-making theory, modeling uncertainty by means of membership grade (MG) and non-membership grade (NMG). Non-linear Diophantine fuzzy sets (N-LDFSs), which are the natural extensions of linear Diopha…
View article: On the solution of intuitionistic fuzzy nonlinear Fredholm integral equation using direct computational method
On the solution of intuitionistic fuzzy nonlinear Fredholm integral equation using direct computational method Open
Fuzzy integral equations play an important role in addressing uncertain mathematical problems. There are various techniques present in the literature to solve fuzzy linear integral equations. Different methodologies provide numerical solut…
View article: A novel fuzzy neural network approach with triangular fuzzy information for the selection of logistics service providers
A novel fuzzy neural network approach with triangular fuzzy information for the selection of logistics service providers Open
View article: Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks
Barriers and enhance strategies for green supply chain management using continuous linear diophantine neural networks Open
Artificial neural networks, a major element of machine learning, focus additional attention on the decision-making process. We extended the idea of artificial neural networks to continuous linear Diophantine fuzzy neural networks. A few op…
View article: Enhancing decision-making with picture fuzzy Einstein interactive operator: An application in multiple attribute group decision-making
Enhancing decision-making with picture fuzzy Einstein interactive operator: An application in multiple attribute group decision-making Open
Recent advancements in Picture Fuzzy Numbers (PFNs) have significantly contributed to the field of fuzzy systems. However, the conventional operational rules (ORs) for PFNs have limitations in practical decision-making scenarios. In partic…
View article: Strategic MARCOS Model for Optimizing Renewable Energy Investments Under Pythagorean Hesitant Fuzzy Assessments
Strategic MARCOS Model for Optimizing Renewable Energy Investments Under Pythagorean Hesitant Fuzzy Assessments Open
For sustainable growth, investments in renewable energy must be maximized. Maximizing investments in renewable energy opens the door to a more successful and environmentally friendly future. Analyzing technological viability, cost‐effectiv…
View article: A Comprehensive Review of AI-Driven Data Mining Techniques
A Comprehensive Review of AI-Driven Data Mining Techniques Open
This comprehensive review explores the evolution and current state of AI-driven data mining techniques, emphasizing their transformative impact across various sectors. We delve into key algorithms, including machine learning and deep learn…
View article: Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models
Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models Open
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the pr…
View article: Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework
Metamorphosing forex: advancements in volatility forecasting using a modified fuzzy time series framework Open
The interplay of exchange rates among nations significantly influences both international and domestic trade, underscoring the pivotal role of the foreign exchange market (Forex) in a country's economic landscape. Forex fluctuations have a…
View article: Enhanced Forecasting of Rice Price and Production in Malaysia Using Novel Multivariate Fuzzy Time Series Models
Enhanced Forecasting of Rice Price and Production in Malaysia Using Novel Multivariate Fuzzy Time Series Models Open
A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the pr…
View article: Selection of third-party logistics in supply chain finance under probabilistic complex hesitant fuzzy sets and distance measures
Selection of third-party logistics in supply chain finance under probabilistic complex hesitant fuzzy sets and distance measures Open
View article: Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network
Heterogeneous wireless network selection using feed forward double hierarchy linguistic neural network Open
Network selection in heterogeneous wireless networks (HWNs) is a complex issue that requires a thorough understanding of service features and user preferences. This is because the various wireless access technologies have varying capabilit…
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View article: Multi-criteria decision support models under fuzzy credibility rough numbers and their application in green supply selection
Multi-criteria decision support models under fuzzy credibility rough numbers and their application in green supply selection Open
View article: The character in the novel Al-Zini Barakat by Jamal Al-Ghitani
The character in the novel Al-Zini Barakat by Jamal Al-Ghitani Open
View article: A New Extended-MULTIMOORA Technique for Selecting Efficient Water Purification Strategy Under <i>ff</i>′-Fractional Linguistic Term Set
A New Extended-MULTIMOORA Technique for Selecting Efficient Water Purification Strategy Under <i>ff</i>′-Fractional Linguistic Term Set Open
The main objective of water purification processes is to remove harmful chemical compounds and microorganisms from water sources to produce suitable water for human consumption. Water purification plays a pivotal role in meeting the critic…
View article: Analysis of Medical Diagnosis Using Double Hierarchical Linguistic Information and Hamacher T-Norms
Analysis of Medical Diagnosis Using Double Hierarchical Linguistic Information and Hamacher T-Norms Open
Cancer is a large group of diseases with one thing in common: they all happen when normal cells become cancerous cells that multiply and spread. Almost ten million people die from cancer every year, making it the second-highest cause of de…
View article: Analysis of ophthalmic imaging Modalities illnesses Under Complex q-rung orthopair Fuzzy Rough Einstein Aggregation Operators
Analysis of ophthalmic imaging Modalities illnesses Under Complex q-rung orthopair Fuzzy Rough Einstein Aggregation Operators Open
The main contribution of this study is the development of a new, generalized concept of complex q-rung orthopair rough Einstein fuzzy set, which is based on the Einstein operation rules and combines complex q-rung orthopair fuzzy set and r…