34 research outputs found

    Análisis del uso de escalas de medida de influencia en el proceso analítico de redes (ANP) para la toma de decisiones multicriterio

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    [ES] La toma de decisiones en situaciones complejas y dinámicas representa un gran desafío para los tomadores de decisiones, quienes deben considerar múltiples criterios interdependientes. En este contexto, los métodos de análisis multicriterio de decisión (MCDA) son ampliamente utilizados, pero la mayoría de ellos asumen que los criterios son independientes, lo cual no es aplicable en la mayoría de los problemas del mundo real. El proceso analítico en red (ANP) es una técnica de MCDA que permite modelar las interacciones entre los criterios de decisión, lo que la hace más aplicable a problemas reales. ANP es una generalización del método de proceso jerárquico analítico (AHP), pero a diferencia de este último, reconoce las influencias recíprocas entre los elementos en un problema de toma de decisiones. ANP utiliza una red ponderada y dirigida para modelar estas interacciones, lo que permite una modelización más realista y precisa del problema. Aunque ANP es el método preferido para modelar situaciones de interdependencia y retroalimentación, presenta desafíos en la práctica, particularmente debido al gran número de comparaciones por pares requeridas. Esta tesis aborda la complejidad de ANP y su principal desafío: las matrices de comparación por pares que miden la influencia de un elemento sobre otro en la red. Se presenta un modelo híbrido de ANP simplificado con la técnica DEMATEL que reduce el número de comparaciones por pares necesarias mediante la utilización de escalas de influencia directa, lo que lo hace más factible de aplicar en la práctica. Además, se han recomendado escalas de medición de influencia directa para normalizar los valores numéricos obtenidos, dividiendo por la suma en lugar de una matriz de transición. La medida se vuelve más precisa con más divisiones de escala. En el estudio de caso presentado, se demostró que la propuesta de modelo combinado DEMATEL basado en ANP puede reducir en promedio el 42% del número de preguntas necesarias en comparación con el modelo ANP original, y aun así obtener resultados similares.[CA] La presa de decisions en situacions complexes i dinàmiques representa un gran desafiament per als prescriptors, els quals han de considerar múltiples criteris interdependents. En aquest context, els mètodes d'anàlisi multicriteri de decisió (MCDA) són àmpliament utilitzats, però la majoria d'ells assumeixen que els criteris són independents, la qual cosa no és aplicable en la majoria dels problemes del món real. El procés analític en xarxa (ANP) és una tècnica de MCDA que permet modelar les interaccions entre els criteris de decisió, la qual cosa la fa més aplicable a problemes reals. ANP és una generalització del mètode de procés jeràrquic analític (AHP), però a diferència d'aquest últim, reconeix les influències recíproques entre els elements en un problema de presa de decisions. ANP utilitza una xarxa ponderada i dirigida per modelar aquestes interaccions, la qual cosa permet una modelització més realista i precisa del problema. Encara que ANP és el mètode preferit per modelar situacions d'interdependència i retroalimentació, presenta desafiaments en la pràctica, particularment a causa del gran nombre de comparacions per parells requerides. Aquesta tesi aborda la complexitat d'ANP i el seu principal desafiament: les matrius de comparació per parells que mesuren la influència d'un element sobre un altre en la xarxa. Es presenta un model híbrid d'ANP simplificat amb la tècnica DEMATEL que redueix el nombre de comparacions per parells necessàries mitjançant l'utilització d'escales d'influència directa, la qual cosa el fa més factible d'aplicar en la pràctica. A més, s'han recomanat escales de mesura d'influència directa per normalitzar els valors numèrics obtinguts, dividint per la suma en lloc d'una matriu de transició. La mesura es torna més precisa amb més divisions d'escala. En l'estudi de cas presentat, es va demostrar que la proposta de model combinat DEMATEL basat en ANP pot reduir en promig el 42% del nombre de preguntes necessàries en comparació amb el model ANP original, i encara obtenir resultats similars.[EN] Decision-making in complex and dynamic situations poses a great challenge for decision makers who must consider multiple interdependent criteria. In this context, multicriteria decision analysis (MCDA) methods are widely used, but most of them assume that criteria are independent, which is not applicable in most real-world problems. Analytic network process (ANP) is an MCDA technique that allows modeling the interactions between decision criteria, making it more applicable to real-world problems. ANP is a generalization of the analytic hierarchy process (AHP), but unlike the latter, it recognizes reciprocal influences between elements in a decision-making problem. ANP uses a weighted and directed network to model these interactions, allowing for a more realistic and accurate modeling of the problem. Although ANP is the preferred method for modeling interdependence and feedback situations, it presents challenges in practice, particularly due to the large number of pairwise comparisons required. This thesis addresses the complexity of ANP and its main challenge: the pairwise comparison matrices that measure the influence of one element on another in the network. A simplified hybrid ANP model with the DEMATEL technique is presented, which reduces the number of pairwise comparisons required by using direct influence scales, making it more feasible to apply in practice. Additionally, recommended direct influence measurement scales have been suggested to normalize the numerical values obtained by dividing by the sum instead of a transition matrix. The measure becomes more precise with more scale divisions. In the case study presented, it was demonstrated that the proposed DEMATEL-ANP combined model can reduce on average 42% of the necessary questions compared to the original ANP model, and still obtain similar results.Schulze González, EA. (2023). Análisis del uso de escalas de medida de influencia en el proceso analítico de redes (ANP) para la toma de decisiones multicriterio [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/19668

    Collected Papers (Neutrosophics and other topics), Volume XIV

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    This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, information fusion, robotics, statistics, or extenics, comprising 936 pages, published between 2008-2022 in different scientific journals or currently in press, by the author alone or in collaboration with the following 99 co-authors (alphabetically ordered) from 26 countries: Ahmed B. Al-Nafee, Adesina Abdul Akeem Agboola, Akbar Rezaei, Shariful Alam, Marina Alonso, Fran Andujar, Toshinori Asai, Assia Bakali, Azmat Hussain, Daniela Baran, Bijan Davvaz, Bilal Hadjadji, Carlos Díaz Bohorquez, Robert N. Boyd, M. Caldas, Cenap Özel, Pankaj Chauhan, Victor Christianto, Salvador Coll, Shyamal Dalapati, Irfan Deli, Balasubramanian Elavarasan, Fahad Alsharari, Yonfei Feng, Daniela Gîfu, Rafael Rojas Gualdrón, Haipeng Wang, Hemant Kumar Gianey, Noel Batista Hernández, Abdel-Nasser Hussein, Ibrahim M. Hezam, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Muthusamy Karthika, Nour Eldeen M. Khalifa, Madad Khan, Kifayat Ullah, Valeri Kroumov, Tapan Kumar Roy, Deepesh Kunwar, Le Thi Nhung, Pedro López, Mai Mohamed, Manh Van Vu, Miguel A. Quiroz-Martínez, Marcel Migdalovici, Kritika Mishra, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohammed Alshumrani, Mohamed Loey, Muhammad Akram, Muhammad Shabir, Mumtaz Ali, Nassim Abbas, Munazza Naz, Ngan Thi Roan, Nguyen Xuan Thao, Rishwanth Mani Parimala, Ion Pătrașcu, Surapati Pramanik, Quek Shio Gai, Qiang Guo, Rajab Ali Borzooei, Nimitha Rajesh, Jesús Estupiñan Ricardo, Juan Miguel Martínez Rubio, Saeed Mirvakili, Arsham Borumand Saeid, Saeid Jafari, Said Broumi, Ahmed A. Salama, Nirmala Sawan, Gheorghe Săvoiu, Ganeshsree Selvachandran, Seok-Zun Song, Shahzaib Ashraf, Jayant Singh, Rajesh Singh, Son Hoang Le, Tahir Mahmood, Kenta Takaya, Mirela Teodorescu, Ramalingam Udhayakumar, Maikel Y. Leyva Vázquez, V. Venkateswara Rao, Luige Vlădăreanu, Victor Vlădăreanu, Gabriela Vlădeanu, Michael Voskoglou, Yaser Saber, Yong Deng, You He, Youcef Chibani, Young Bae Jun, Wadei F. Al-Omeri, Hongbo Wang, Zayen Azzouz Omar

    Bibliometric analysis of scientific production on methods to aid decision making in the last 40 years

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    Purpose: Multicriteria methods have gained traction in both academia and industry practices for effective decision-making over the years. This bibliometric study aims to explore and provide an overview of research carried out on multicriteria methods, in its various aspects, over the past forty-four years. Design/Methodology/Approach: The Web of Science (WoS) and Scopus databases were searched for publications from January 1945 to April 29, 2021, on multicriteria methods in titles, abstracts, and keywords. The bibliographic data were analyzed using the R bibliometrix package. Findings: This bibliometric study asserts that 29,050 authors have produced 20,861 documents on the theme of multicriteria methods in 131 countries in the last forty-four years. Scientific production in this area grows at a rate of 13.88 per year. China is the leading country in publications with 14.14%; India with 10.76%; and Iran with 8.09%. Islamic Azad University leads others with 504 publications, followed by the Vilnius Gediminas Technical University with 456 and the National Institute of Technology with 336. As for journals, Expert Systems With Applications; Sustainability; and Journal of Cleaner Production are the leading journals, which account for more than 4.67% of all indexed literature. Furthermore, Zavadskas E. and Wang J have the highest publications in the multicriteria methods domain regarding the authors. Regarding the most commonly used multicriteria decision-making methods, AHP is the most favored approach among the ten countries with the most publications in this research area, followed by TOPSIS, VIKOR, PROMETHEE, and ANP. Practical implications: The bibliometric literature review method allows the researchers to explore the multicriteria research area more extensively than the traditional literature review method. It enables a large dataset of bibliographic records to be systematically analyzed through statistical measures, yielding informative insights. Originality/value: The usefulness of this bibliometric study is summed in presenting an overview of the topic of the multicriteria methods during the previous forty-four years, allowing other academics to use this research as a starting point for their research

    Collected Papers (on Neutrosophic Theory and Applications), Volume VIII

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    This eighth volume of Collected Papers includes 75 papers comprising 973 pages on (theoretic and applied) neutrosophics, written between 2010-2022 by the author alone or in collaboration with the following 102 co-authors (alphabetically ordered) from 24 countries: Mohamed Abdel-Basset, Abduallah Gamal, Firoz Ahmad, Ahmad Yusuf Adhami, Ahmed B. Al-Nafee, Ali Hassan, Mumtaz Ali, Akbar Rezaei, Assia Bakali, Ayoub Bahnasse, Azeddine Elhassouny, Durga Banerjee, Romualdas Bausys, Mircea Boșcoianu, Traian Alexandru Buda, Bui Cong Cuong, Emilia Calefariu, Ahmet Çevik, Chang Su Kim, Victor Christianto, Dae Wan Kim, Daud Ahmad, Arindam Dey, Partha Pratim Dey, Mamouni Dhar, H. A. Elagamy, Ahmed K. Essa, Sudipta Gayen, Bibhas C. Giri, Daniela Gîfu, Noel Batista Hernández, Hojjatollah Farahani, Huda E. Khalid, Irfan Deli, Saeid Jafari, Tèmítópé Gbóláhàn Jaíyéolá, Sripati Jha, Sudan Jha, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, M. Karthika, Kawther F. Alhasan, Giruta Kazakeviciute-Januskeviciene, Qaisar Khan, Kishore Kumar P K, Prem Kumar Singh, Ranjan Kumar, Maikel Leyva-Vázquez, Mahmoud Ismail, Tahir Mahmood, Hafsa Masood Malik, Mohammad Abobala, Mai Mohamed, Gunasekaran Manogaran, Seema Mehra, Kalyan Mondal, Mohamed Talea, Mullai Murugappan, Muhammad Akram, Muhammad Aslam Malik, Muhammad Khalid Mahmood, Nivetha Martin, Durga Nagarajan, Nguyen Van Dinh, Nguyen Xuan Thao, Lewis Nkenyereya, Jagan M. Obbineni, M. Parimala, S. K. Patro, Peide Liu, Pham Hong Phong, Surapati Pramanik, Gyanendra Prasad Joshi, Quek Shio Gai, R. Radha, A.A. Salama, S. Satham Hussain, Mehmet Șahin, Said Broumi, Ganeshsree Selvachandran, Selvaraj Ganesan, Shahbaz Ali, Shouzhen Zeng, Manjeet Singh, A. Stanis Arul Mary, Dragiša Stanujkić, Yusuf Șubaș, Rui-Pu Tan, Mirela Teodorescu, Selçuk Topal, Zenonas Turskis, Vakkas Uluçay, Norberto Valcárcel Izquierdo, V. Venkateswara Rao, Volkan Duran, Ying Li, Young Bae Jun, Wadei F. Al-Omeri, Jian-qiang Wang, Lihshing Leigh Wang, Edmundas Kazimieras Zavadskas

    Comparison of Correlation for Asian Shariah Indices Using DCC-GARCH and Rolling Window Correlation.

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    This paper aims to compare the capability of correlation in capturing the volatility using rolling window correlation and Dynamic Conditional Correlation - Generalized Autoregressive Conditional Heteroscedasticity (DCC-GARCH) approach. This study will perform a DCC-GARCH to estimate the dynamic conditional correlation between the Asian Shariah indices. The Asian Shariah index comprises FTSE SGX Asia Shariah 100, FTSE Bursa Malaysia Emas Shariah Index, FTSE Greater China Shariah Index, and FTSE Stock Exchange of Thailand (SET) Shariah Index. The correlation estimation considers the FTSE SGX Asia Shariah 100 as a proxy. The World Health Organization (WHO) declared the Coronavirus 2019 (COVID-19) as pandemic on 11th March 2020. Therefore, the data used covers six months before and after 11th March 2020, from 11th September 2019 until 11th September 2020. The output of both effected correlations towards the Covid-19 will be evaluated based on their ability to capture the time-varying changes through graph plotting. The empirical findings show that the DCC-GARCH is better at capturing the highly changes volatility than the rolling window correlation

    Sustainability as a Multi-criteria Concept

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    Sustainability is a fairly old concept, born in the 18th century in the field of forestry, within a mono-functionality perspective. The concept has considerably evolved in the last few years towards a multi-functionality context, with applications reported in practically all areas of economic interest. On the other hand, modern sustainability is a complex problem, for two reasons: a) The multiplicity of functions of a very different nature involved in the process and b) The manner in which different segments of the society or stakeholders perceive the relative importance of these functions. For the above reasons, a realistic approach for dealing with the sustainability issue requires taking into consideration multiple criteria of different nature (economic, environmental and social), and in many cases within a participatory decision making framework. This book presents a collection of papers, dealing with different theoretical and applied issues of sustainability, with the help of a modern multi-criteria decision-making theory, with a single as well as several stakeholders involved in the decision-making process. Hopefully, this material will encourage academics and practitioners to alter their research in this hot and vital topic. After all, the sustainable management of the environment and its embedded resources is one of the most important, if not the major challenge of the 21st century

    Transportation Systems Analysis and Assessment

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    The transportation system is the backbone of any social and economic system, and is also a very complex system in which users, transport means, technologies, services, and infrastructures have to cooperate with each other to achieve common and unique goals.The aim of this book is to present a general overview on some of the main challenges that transportation planners and decision makers are faced with. The book addresses different topics that range from user's behavior to travel demand simulation, from supply chain to the railway infrastructure capacity, from traffic safety issues to Life Cycle Assessment, and to strategies to make the transportation system more sustainable

    How digital data are used in the domain of health: A short review of current knowledge

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    In the era of digitalization, digital data is available about every aspect of our daily lives, including our physical and mental health. Digital data has been applied in the domain of healthcare for the detection of an outbreak of infectious diseases, clinical decision support, personalized care, and genomics. This paper will serve as a review of the rapidly evolving field of digital health. More specifically, we will discuss (1) big data and physical health, (2) big data and mental health, (3) digital contact tracing during the COVID-19 pandemic, and finally, (4) ethical issues with using digital data for health-related purposes. With this review, we aim to stimulate a public debate on the appropriate usage of digital data in the health sector

    Adding value to the VRIO framework using DEMATEL

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    Strategic management is fundamental for organizational development. It plays a critical role in the accomplishment of business performance and, as result, in the achievement of competitive advantage. Currently, the increased use of strategic management has intentional impacts on a company’s performance and differentiation, specifically in a globalized market. From this perspective, organizational evaluation is important, as well as the development of strategic management frameworks that can guarantee the achievement of sustainable competitive advantages for organizations. One of the most well-known frameworks for organizational resource assessment is the Value, Rarity, Inimitability and Organizational-oriented (VRIO) framework. It is worth noting, however, that this tool is not without limitations (e.g., how to identify and weight resources and capabilities in the evaluation process), which have prevented progress. Hence, this dissertation aims to enhance the VRIO framework, allowing for its quantification in a transparent and robust manner. To reach this aim, the VRIO framework is combined with the DEcision-MAking Trial and Evaluation Laboratory (DEMATEL) method, and a reallife application is carried out. The incentives and shortcomings of this structured evaluation model are also analyzed and discussed
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