Fuzzy Systems

This book presents some recent specialized works of theoretical study in the domain of fuzzy systems. Over eight sections and fifteen chapters, the volume addresses fuzzy systems concepts and promotes them in practical applications in the following thematic areas: fuzzy mathematics, decision making, clustering, adaptive neural fuzzy inference systems, control systems, process monitoring, green infrastructure, and medicine. The studies published in the book develop new theoretical concepts that improve the properties and performances of fuzzy systems. This book is a useful resource for specialists, engineers, professors, and students

Analysis of solar module alternatives for efficiency-based energy investments with hybrid 2-tuple IVIF modeling

The purpose of this study is to examine optimal solar module investments. Firstly, key determinants of the performance of solar energy investments are evaluated by DEMATEL method with the 2-tuple IVIF sets. Moreover, the cell material alternatives for solar module investments are also ranked. For this purpose, an evaluation has been made by 2-tuple IVIF TOPSIS. The contributions of the paper are performing a priority analysis to understand the most significant factors to increase solar energy projects and creating an original model by the integration of DEMATEL and TOPSIS with the 2-tuple IVIF sets. The findings denote that crystalline silicon is the optimal solar panel module to increase the performance of these projects. In the short term, government subsidies can provide cost advantages to solar energy investors. It is not a very continuous practice to try to increase these projects only with government supports. The costs of solar energy projects should be reduced to solve this problem permanently. Owing to new technological developments, high cost problem of solar energy investments can be handled more successfully.European Commission ; Russian Science Foundatio

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management

Design for Disassembly and Sustainability Assessment to Support Aircraft End-of-Life Treatment

RÉSUMÉ L’industrie aéronautique se développe vers une économie circulaire avec la réutilisation de ses matériaux et composants. Pourtant, chaque année, des centaines d’avions finissent à l’enfouissement sans un traitement approprié. Pour faire face à ce problème, cette recherche s’est principalement concentrée sur deux approches à savoir l’amélioration de la conception des avions en fin de vie au niveau de la phase de développement et l’amélioration des méthodes de traitement pour les avions retirés du marché lesquelles ont été conçus il y a des décennies. L’amélioration des produits durant sa phase de développement apparait comme une solution prometteuse pour maximiser le taux de revalorisation du produit. En attendant, le désassemblage apparait comme une activité évidente autant à la fin de vie du produit que durant sa période de fonctionnement (par exemple la maintenance des avions). Dans cette thèse, une nouvelle approche est introduite en vue d’être implémentée durant la phase de conception d’un avion, afin d’améliorer le désassemblage futur des avions en fin de vie. Pour ce faire, les travaux de désassemblage seront abordés comme un problème de prise de décision multicritères. Cinq paramètres sont considérés sur la base des expériences accumulées durant les travaux de désassemblage d’un avion régional Bombardier : « l’accessibilité », « les surfaces de contact », « les outils requis », « les types de connections » et « la quantité et les variantes des différentes connections ». Une méthode d’évaluation par pointage utilisant les méthodes de « conception pour l’expérimentation » (en anglais « Design of Experiment », ou l’acronyme « DOE ») et TOPSIS est développée. Les résultats d’ANOVA ont montré un taux de fiabilité de 94.3 % confirmant la pertinence du modèle. Le modèle proposé peut être facilement utilisé par les décideurs et les concepteurs en vue de la réingénierie, pour améliorer le désassemblage et, plus généralement, la valorisation des futurs avions en fin de vie. En vue d’améliorer les méthodes de traitement pour la fin de vie des avions, nous avons implémenté huit différentes stratégies de désassemblage/démantèlement sur la carcasse de l’avion mentionné ci-dessus. La durabilité et le développement durable deviennent de plus en plus le centre d’attention des industries. Agissant comme un fournisseur pour des industries plus influentes, les entreprises de démantèlement/recyclage devraient se concentrer sur des stratégies leur permettant une amélioration de leurs positions sur le marché. Un des facteurs clé serait de pratiquer la durabilité et le développement durable dans tous les procédés de démantèlement et de recyclage.----------ABSTRACT Despite aerospace industries are moving toward circular economy and reutilization of materials and components, every year hundreds of aircrafts end up in landfills without an appropriate treatment. To address this problem, this thesis has been focused on two main approaches: amelioration of aircraft design for end-of-life at the development phase and improvement of end-of-life treatment methods for aircrafts that have been designed decades ago and are currently retired. Amelioration of product design at the development phase stands as a very promising approach to increase the product recoverability rate. Meanwhile, disassembly appears as an inevitable activity for products not only at the end-of-life but also during the products life time and maintenance. In this thesis, a new approach is introduced to be implemented at the design phase for improving aircraft disassemblability at the end-of-life. For that, disassembly job was tackled as a multi-criteria decision-making problem. Five parameters were considered based on the experience accumulated during the disassembly work on a Bombardier Regional Jet aircraft: “Accessibility”, “Mating face”, “Tools required”, “Connection type”, and “Quantity and variety of connections”. A novel disassembly scoring model using a hybrid design of experiment (DOE) and TOPSIS method was developed. The results from ANOVA showed a 94.30% of reliability, and testified the adequacy of the model. The proposed model can be easily used by decision-makers, and designers for reengineering purposes to improve the disassembly and in a broader scope recoverability of the future aircrafts at the end-of-life. Towards the improvement of end-of-life treatment methods, in this work we have implemented eight different disassembly/dismantling strategies on the carcass of the above mentioned aircraft. Sustainability and sustainable development are more and more becoming the center of attention for different industries. Acting as a supplier for bigger industries, aircraft dismantler/recycler businesses should focus on strategies that allow to ameliorate their current position in the market. One of the key factors is to practice sustainability and sustainable development in all the dismantling and recycling processes. In this direction, the eight strategies employed were evaluated and compared in terms of sustainability. 19 indicators were defined to assess the environmental, social, and economic impacts of each strategy. The input data were provided from the experts who were engaged into the strategies implementation

Uncertain Multi-Criteria Optimization Problems

Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems

Collected Papers (on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics), Volume XI

This eleventh volume of Collected Papers includes 90 papers comprising 988 pages on Physics, Artificial Intelligence, Health Issues, Decision Making, Economics, Statistics, written between 2001-2022 by the author alone or in collaboration with the following 84 co-authors (alphabetically ordered) from 19 countries: Abhijit Saha, Abu Sufian, Jack Allen, Shahbaz Ali, Ali Safaa Sadiq, Aliya Fahmi, Atiqa Fakhar, Atiqa Firdous, Sukanto Bhattacharya, Robert N. Boyd, Victor Chang, Victor Christianto, V. Christy, Dao The Son, Debjit Dutta, Azeddine Elhassouny, Fazal Ghani, Fazli Amin, Anirudha Ghosha, Nasruddin Hassan, Hoang Viet Long, Jhulaneswar Baidya, Jin Kim, Jun Ye, Darjan Karabašević, Vasilios N. Katsikis, Ieva Meidutė-Kavaliauskienė, F. Kaymarm, Nour Eldeen M. Khalifa, Madad Khan, Qaisar Khan, M. Khoshnevisan, Kifayat Ullah,, Volodymyr Krasnoholovets, Mukesh Kumar, Le Hoang Son, Luong Thi Hong Lan, Tahir Mahmood, Mahmoud Ismail, Mohamed Abdel-Basset, Siti Nurul Fitriah Mohamad, Mohamed Loey, Mai Mohamed, K. Mohana, Kalyan Mondal, Muhammad Gulfam, Muhammad Khalid Mahmood, Muhammad Jamil, Muhammad Yaqub Khan, Muhammad Riaz, Nguyen Dinh Hoa, Cu Nguyen Giap, Nguyen Tho Thong, Peide Liu, Pham Huy Thong, Gabrijela Popović‬‬‬‬‬‬‬‬‬‬, Surapati Pramanik, Dmitri Rabounski, Roslan Hasni, Rumi Roy, Tapan Kumar Roy, Said Broumi, Saleem Abdullah, Muzafer Saračević, Ganeshsree Selvachandran, Shariful Alam, Shyamal Dalapati, Housila P. Singh, R. Singh, Rajesh Singh, Predrag S. Stanimirović, Kasan Susilo, Dragiša Stanujkić, Alexandra Şandru, Ovidiu Ilie Şandru, Zenonas Turskis, Yunita Umniyati, Alptekin Ulutaș, Maikel Yelandi Leyva Vázquez, Binyamin Yusoff, Edmundas Kazimieras Zavadskas, Zhao Loon Wang.‬‬‬

Preference Evaluation System for Construction Products Using QFD-TOPSIS Logic by Considering Trade-Off Technical Characteristics

This paper investigates the feasibility of quality function deployment, technique for the order of preference by similarity to ideal solution (QFD-TOPSIS) in presenting user preferences for multiple alternatives, such as construction technologies, products, systems, and design solutions, with trade-off technical characteristics (TC). The original QFD as house of quality (HOQ) defines the requirements and features as subjective matrix relations, which cause interpretations to vary across users and limit its industrial applications. QFD-TOPSIS is a new model that combines the benefits of QFD with those of TOPSIS, maintains the subjectivity and objectivity evaluation of the technical characteristics (TC), and rates the preferences by considering users’ individual propensity for requirements. In addition, QFD-TOPSIS rates the preferences through the reciprocal compensation effects of trade-off TC and filters unsuitable alternatives with predefined restrictive conditions. Trade-off refers to conflicts and/or contradictions between attributes, often arising in multicriteria decision-making. Users or project stakeholder groups define the priorities of trade-off TC that directly influence product preferences and decision-making. In the present study, we have developed a Web system based on the QFD-TOPSIS logic and tested its operation to verify its industrial applicability and viability for automatic quality evaluation

Multiple-Criteria Decision Making

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with imprecise, ambiguous, or vague data.This Special Issue, “Multiple Criteria Decision Making”, aims to incorporate recent developments in the area of the multi-criteria decision-making field. Topics include, but are not limited to:- MCDM optimization in engineering;- Environmental sustainability in engineering processes;- Multi-criteria production and logistics process planning;- New trends in multi-criteria evaluation of sustainable processes;- Multi-criteria decision making in strategic management based on sustainable criteria

Enterprise, project and workforce selection models for industry 4.0.

Abstract Enterprise, project, and workforce selection models for Industry 4.0. Rupinder Kaur The German federal government first coined industry 4.0 in 2011. Industry 4.0 involves the use of advanced technologies such as cyber-physical system, internet of things, cloud computing, and cognitive computing with the aim to revolutionize the current manufacturing practices. Automation and exchange of big data and key characteristics of Industry 4.0. Due to its numerous benefits, industries are readily investing in Industry 4.0, but this implementation is an uphill struggle. In this thesis, we address three key problems related to Industry 4.0 implementation namely Enterprise selection, Project selection and Workforce selection. The first problem involves identification of enterprises suitable for Industry 4.0 implementation. The second problem involves prioritization and selection of Industry 4.0 projects for the chosen digital enterprises. The third and last problem involves workforce selection and assignment for execution of the identified Industry 4.0 projects. Multicriteria solution approaches based on TOPSIS and Genetic Algorithms are proposed to address these problems. Industry experts are involved to prioritize the criteria used for enterprise, project and workforce selection. Numerical applications are provided. The proposed work is innovative and can be useful to manufacturing and service organizations interested in implementing Industry 4.0 projects for performance improvement