Article
Computer Science, Information Systems
Yuzhen Li, Yabin Shao
Summary: In real life, uncertainty problems arise due to the vagueness of concepts, making it difficult to determine if an object conforms to a particular concept. Fuzzy methods are suitable for dealing with such uncertain events. The D-number cognitive maps and D-number fuzzy cognitive maps are intelligent framework models that can handle multiple sources of information with uncertainty and incomplete information, addressing the challenge of knowledge combination.
Article
Computer Science, Artificial Intelligence
Leonardo Concepcion, Gonzalo Napoles, Rafael Falcon, Koen Vanhoof, Rafael Bello
Summary: The article introduces definitions and theorems about the dynamic behavior of FCM, as well as analytical expressions for estimating activation values and analyzing coverage and proximity of activation spaces. The main theoretical findings suggest that the state space of FCM models equipped with transfer F-functions shrinks infinitely, with no guarantee of convergence to a fixed point but rather to its limit state space.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Oguz Emir, Sule Onsel Ekici
Summary: In recent years, waste management has gained attention due to sustainability concerns and the depletion of natural resources. Food waste management is particularly important given the growing population and hunger crisis. Integrated assessment models (IAMs) have been commonly used to study food waste and provide insights to policymakers, while the Fuzzy Cognitive Map (FCM) extended with intuitionistic fuzzy sets offers a framework for analyzing interactions between factors and prioritizing policies.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Raymond R. Tan, Kathleen B. Aviso, Angelyn R. Lao, Michael Angelo B. Promentilla
Summary: The P-graph causality map methodology distinguishes system components and functions to determine structurally feasible causal networks for achieving desired outcomes. This approach has been extended to analyzing vicious networks and provides insights on deactivating them by removing key objects and mechanisms. The methodology is illustrated with an ex post analysis of the 1984 Bhopal industrial disaster, with potential applications to sustainability issues.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2022)
Article
Computer Science, Artificial Intelligence
Piotr Szwed
Summary: Fuzzy Cognitive Maps (FCMs) are a soft computing technique used in various fields like system behavior modeling, time series prediction, decision making, and process control. This study introduces an FCM based classifier with a fully connected map structure, learning weights with a gradient algorithm. The aim is to create a descent general purpose classifier with performance comparable to classical methods, and preliminary results show promising outcomes.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Tianming Yu, Qunfeng Gan, Guoliang Feng, Guangxin Han
Summary: In recent years, classification based on fuzzy cognitive maps (FCM) has attracted extensive attention and has been successfully applied in many engineering problems. However, existing methods lack universality and low classification accuracy. In this study, a new model integrating capsule network into inference rules is proposed to enhance the interpretability, universality, and classification performance. Experimental results demonstrate the superiority of the proposed method over low-level cognitive maps.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Izaz Ullah Khan, Muhammad Aftab
Summary: An adaptive fuzzy dynamic programming technique is proposed to solve linear programming problems with fuzzy constraints. The technique can handle the case where both the left and right hand sides of the constraints are fuzzy. It ensures the existence of a feasible solution for fuzzy linear programming problems.
Article
Computer Science, Artificial Intelligence
Istvan A. Harmati, Miklos F. Hatwagner, Laszlo T. Koczy
Summary: Fuzzy cognitive maps are an effective modeling tool for complex systems. Global stability is not always essential, as multiple fixed points are preferred in many applications.
NEURAL COMPUTING & APPLICATIONS
(2023)
Review
Mathematics
Bogdana Stanojevic, Milan Stanojevic, Sorin Nadaban
Summary: This paper focuses on the current position and role of the extension principle in solving mathematical programming problems involving fuzzy numbers. It highlights the indispensability of the extension principle in approaching this class of problems. The paper presents different solution approaches, reviews methodologies not following the extension principle, and suggests using the extension principle in all stages of the optimization process.
Article
Computer Science, Artificial Intelligence
Gonzalo Napoles, Nevena Rankovic, Yamisleydi Salgueiro
Summary: This paper proposes a post-hoc explanation method for computing concept attribution in Fuzzy Cognitive Map (FCM) models, which combines SHapley Additive exPlanations (SHAP) values and the dynamic properties of the FCM model. The relevance of neural concepts is computed by considering the initial activation values and hidden states of the model. Experimental results demonstrate the effectiveness of the proposed method.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Omid Orang, Petronio Candido de Lima e Silva, Frederico Gadelha Guimaraes
Summary: Among various soft computing approaches, fuzzy cognitive maps (FCMs) have shown remarkable results in time series forecasting. FCMs are a mixture of fuzzy logic, neural network, and expert system aspects, making them a powerful tool for simulating and studying complex systems. This survey paper presents an overview of the most relevant FCM-based time series forecasting models and provides ideas for future research to enhance their capabilities.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Mathematics
Alina Vladimirovna Petukhova, Anna Vladimirovna Kovalenko, Anna Vyacheslavovna Ovsyannikova
Summary: This paper proposes a scenario analysis algorithm based on fuzzy cognitive maps for decision support in complex systems. The algorithm effectively obtains the initial state of the system using the theory of neutrosophic fuzzy equations, reducing the time required for problem-solving.
Article
Computer Science, Theory & Methods
Ezat Valipour, Mohammad Ali Yaghoobi
Summary: This study examines fuzzy linearization approaches for solving multi-objective linear fractional programming problems. Existing methods for dealing with fuzzy objectives on a crisp constraint set are reviewed, and it is found that one popular method has shortcomings. Modifications are made to this method to find efficient solutions. LP-based methods optimize a weighted sum of the numerator and negative denominator of the given fractional objective function, but the efficiency of optimal solutions cannot be guaranteed when the interior of the feasible set is nonempty. MOLP-based methods use fuzzy set techniques to obtain an equivalent problem to the main MOLFP problem.
FUZZY SETS AND SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Gonzalo Napoles, Isel Grau, Leonardo Concepcion, Lisa Koutsoviti Koumeri, Joao Paulo Papa
Summary: This paper presents a Fuzzy Cognitive Map model for quantifying implicit bias in structured datasets. The model maps problem features to neural concepts and represents correlations/associations between features using weights. It also introduces a new reasoning mechanism that can be controlled by regulating nonlinearity in updating neuron activations.
Article
Computer Science, Artificial Intelligence
Tianming Yu, Qunfeng Gan, Guoliang Feng
Summary: The study introduces a new prediction modelling methodology based on fuzzy cognitive maps, leveraging a bootstrap method to select multiple sub-sequences and merging these models through granular computing. The approach not only demonstrates strong numerical and interval prediction performance, but also improves interpretability and comprehension for humans.
PEERJ COMPUTER SCIENCE
(2021)
Review
Environmental Sciences
Imania Ghaffar, Balakrishnan Deepanraj, Lingala Syam Sundar, Dai-Viet N. Vo, Algam Saikumar, Ali Hussain
Summary: The feasibility of microalgal biomass as a promising and renewable source for biofuel production is extensively studied. Microalgal biomass can be cultivated under various conditions, including photoautotrophic, heterotrophic, photoheterotrophic, and mixotrophic cultivation. Mixotrophic cultivation shows higher biomass productivity and yields more polyunsaturated fatty acids compared to photoautotrophic cultivation. The use of industrial wastewaters for mixotrophic cultivation can reduce contaminants' load while producing productive microalgal biomass. This review focuses on sustainable cultivation of microalgae in different types of wastewaters.
Review
Chemistry, Multidisciplinary
Ravichandran Swathy Monisha, Ragupathy Lakshmi Mani, Baskaran Sivaprakash, Natarajan Rajamohan, Dai-Viet N. Vo
Summary: This article provides a review of the detection, toxicity, hazard identification, and remediation methods of endocrine disruptors. It discusses the characteristics and sources of various endocrine disruptors and presents different treatment approaches. For example, biodegradation and UV treatment can effectively remove certain endocrine disruptors.
ENVIRONMENTAL CHEMISTRY LETTERS
(2023)
Review
Environmental Sciences
B. Monisha, Rajalakshmi Sridharan, P. Senthil Kumar, Gayathri Rangasamy, Veena Gayathri Krishnaswamy, S. Subhashree
Summary: Development of science has become essential in our lives. Synthetic technology supports the production of various synthetic products, including synthetic azo dyes used in food coloring. However, the consumption of these colored foods can have severe health consequences due to the presence of azo-toxic dyes.
Article
Environmental Sciences
A. Saravanan, P. Senthil Kumar, Gayathri Rangasamy, R. Hariharan, R. V. Hemavathy, P. D. Deepika, Krithika Anand, S. Karthika
Summary: Food waste has become a global concern due to population growth and economic development. The wastewater from food industries contains valuable and toxic components that negatively impact the ecosystem. The review highlights the potential of food industry wastewater as a rich energy source and primary source for valuable product generation. It provides a detailed analysis of the characteristics, composition, and nature of wastewater from various food sectors.
Article
Environmental Sciences
P. Senthil Kumar, M. Varsha, B. Senthil Rathi, Gayathri Rangasamy
Summary: Ecosystems are increasingly polluted, calling for sustainable pollution removal techniques. Ultra-pure water has become essential for industries, with electrodeionization emerging as an effective method for removing ionic chemicals and producing high-purity water. This technique not only provides purified water but also holds promising potential for wastewater treatment, eliminating ionizable compounds, hazardous chemicals, radioactive pollutants, heavy metals, and other contaminants.
ENVIRONMENTAL RESEARCH
(2023)
Article
Biotechnology & Applied Microbiology
Duyen Thi Cam Nguyen, A. A. Jalil, Nguyen Chi Huynh, Linh Quang Phan, Dai-Viet N. Vo, Thuan Van Tran
Summary: In this study, ZnFe2O4@AC derived from O. stricta biowaste was fabricated and used for dye removal. The optimized ZnFe2O4@AC showed excellent performance in terms of adsorption capacity and kinetics, making it a promising bioadsorbent.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Review
Environmental Sciences
A. Saravanan, P. Senthil Kumar, D. Yuvaraj, S. Jeevanantham, P. Aishwaria, P. B. Gnanasri, M. Gopinath, Gayathri Rangasamy
Summary: Disposal of biodegradable waste of seashells leads to environmental imbalance. This review focuses on polysaccharides from crustaceans and their industrial applications. It emphasizes the current research on structural analyses and extraction of polysaccharides. The article summarizes the properties and extraction methods of chitin, chitosan, and chitooligosaccharides, as well as their applications in various industries.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
M. Rasheeda Shameem, J. Mary Isabella Sonali, P. Senthil Kumar, Gayathri Rangasamy, K. Veena Gayathri, V. Parthasarathy
Summary: The study isolated five nitrogen-fixing bacteria from Tea and Groundnut rhizosphere soil, and identified RSKVG 02 as the most optimal strain. The conditions for RSKVG 02 were determined to be pH 7 at 30 degrees C, with 1% glucose and 0.05% ammonium sulfate as carbon and nitrogen sources. This bacterium exhibited plant growth-promoting traits and the potential to enhance soil fertility. Therefore, Rhizobium mayense could be a valuable biofertilizer for crop production, increasing yield, and improving soil fertility.
ENVIRONMENTAL RESEARCH
(2023)
Review
Biotechnology & Applied Microbiology
Bernard Chukwuemeka Ekeoma, Leonard Nnamdi Ekeoma, Mohammad Yusuf, Abdurrashid Haruna, Chigozie Kosisochukwu Ikeogu, Zulkifli Merican Aljunid Merican, Hesam Kamyab, Cham Q. Pham, Dai-Viet N. Vo, Shreeshivadasan Chelliapan
Summary: The issue of environmental pollution has been worsened by new contaminants whose morphology is not fully understood. Bioremediation involving plants, microbes, or enzymes has emerged as a cost-effective and eco-friendly approach to mitigate the pollution effects of these emerging contaminants. However, enzyme-mediated bioremediation faces challenges such as temperature, pH, storage stability, and recycling difficulty. Immobilization of enzymes has been successfully applied to address these challenges, but it comes with additional costs and limitations. This review provides state-of-the-art information on bioremediation using enzymes, including the sustainability of bio-catalysts, ecotoxicological evaluation, enzyme groups used, and challenges to large-scale implementation.
JOURNAL OF BIOTECHNOLOGY
(2023)
Article
Environmental Sciences
Anas Abdullah, Mukhtar Ahmed, Dai-Viet N. Vo, Ahmad Zuhairi Abdullah
Summary: The manufacture of acrylic acid from glycerol is an intriguing alternative with significant industrial importance. The key difficulty lies in finding a catalyst that can catalyze the oxydehydration reaction to produce acrylic acid while maintaining an appropriate balance between acid and metal sites. Metal loaded zeolites, heteropoly acids, metal oxides, and phosphates have all been investigated as successful catalysts for the conversion of glycerol to acrylic acid.
WASTE AND BIOMASS VALORIZATION
(2023)
Article
Environmental Sciences
Kowsalya Vellingiri, P. Ganesh Kumar, P. Senthil Kumar, S. Jagannathan, S. Kanmani
Summary: Due to limited access to safe drinking water, India faces a high incidence of waterborne disease outbreaks. Efforts are being made to improve the quality of drinking water, with a focus on disinfection to control microbial populations. However, in India, research on the toxicity and trends of disinfection byproducts (DBPs) is still in its early stages.
Article
Environmental Sciences
P. R. Yaashikaa, P. Senthil Kumar, A. Saravanan, S. Karishma, Gayathri Rangasamy
Summary: Decarbonization has become a critical issue due to increasing energy demands and limited oil resources. Biotechnology-based decarbonization systems have proven to be cost-effective and environmentally friendly in reducing carbon emissions. Bioenergy generation is predicted to play a significant role in mitigating climate change and this review provides a new perspective on biotechnological approaches and strategies for decarbonization.
Editorial Material
Biotechnology & Applied Microbiology
Sumaiya Zainal Abidin, Dai-Viet N. Vo, Herma Dina Setiabudi
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2023)
Review
Environmental Sciences
A. Saravanan, S. Karishma, P. Senthil Kumar, P. Thamarai, P. R. Yaashikaa
Summary: Rapid industrialization has worsened health and environmental hazards, requiring further remediation methods. Modified adsorbents are a popular choice with improved adsorption characteristics. Physical and chemical activation strategies can enhance adsorption efficiency and removal rate.
ENVIRONMENTAL POLLUTION
(2023)
Article
Chemistry, Applied
R. Sivaranjanee, P. Senthil Kumar
Summary: This study prepared hydrochar from corncob wastes through hydrothermal carbonization and activated it with NaOH to enhance its adsorption capabilities. The findings showed that the adsorption capacity of hydrochar was significantly influenced by retention duration, liquid-to-solid ratios, and temperatures. The activated hydrochar exhibited a high specific surface area and adsorption capacity, making it a promising sorbent for removing anionic dyes.
ADSORPTION SCIENCE & TECHNOLOGY
(2023)
