Managing Non-Homogeneous Information and Experts’ Psychological Behavior in Group Emergency Decision Making

After an emergency event (EE) happens, emergency decision making (EDM) is a common and effective way to deal with the emergency situation, which plays an important role in mitigating its level of harm. In the real world, it is a big challenge for an individual emergency manager (EM) to make a proper and comprehensive decision for coping with an EE. Consequently, many practical EDM problems drive group emergency decision making (GEDM) problems whose main limitations are related to the lack of flexibility in knowledge elicitation, disagreements in the group and the consideration of experts’ psychological behavior in the decision process. Hence, this paper proposes a novel GEDM approach that allows more flexibility for preference elicitation under uncertainty, provides a consensus process to avoid disagreements and considers experts’ psychological behavior by using the fuzzy TODIM method based on prospect theory. Eventually, a group decision support system (GDSS) is developed to support the whole GEDM process defined in the proposed method demonstrating its novelty, validity and feasibility.This work was partly supported by the Young Doctoral Dissertation Project of Social Science Planning Project of Fujian Province (Project No. FJ2016C202), National Natural Science Foundation of China (Project Nos. 71371053, 61773123), Spanish National Research Project (Project No. TIN2015-66524-P), and Spanish Ministry of Economy and Finance Postdoctoral Fellow (IJCI-2015-23715) and ERDF

The generalized dice similarity measures for multiple attribute decision making with hesitant fuzzy linguistic information

In this paper, we shall present some novel Dice similarity measures of hesitant fuzzy linguistic term sets and the generalized Dice similarity measures of hesitant fuzzy linguistic term sets and indicate that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures-based multiple attribute decision making models with hesitant fuzzy linguistic term sets. Finally, a practical example concerning the evaluation of the quality of movies is given to illustrate the applicability and advantage of the proposed generalized Dice similarity measure

Modelado complejo de información lingüística en problemas de toma de decisión en grupo bajo incertidumbre

El modelado de información lingüística en problemas de Toma de Decisión en Grupo (TDG) con incertidumbre y sus Procesos de Alcance de Consenso (PAC), se ha convertido en una línea de investigación de gran importancia dentro del ámbito de la toma de decisión. La mayoría de propuestas enfocadas al modelado lingüístico, se basan en el enfoque lingüístico difuso y emplean expresiones lingüísticas cercanas a la forma de pensar de los seres humanos para modelar la incertidumbre inherente en los problemas de decisión. Sin embargo, muchas de estas propuestas presentan limitaciones en términos de interpretación y/o precisión. En esta tesis doctoral, se ha propuesto un nuevo marco metodológico para el modelado y tratamiento de incertidumbre para problemas de TDG y PAC mediante expresiones lingüísticas complejas que permite modelar las opiniones de los expertos en este tipo de problemas.The modelling of linguistic information in Group Decision Making (GDM) problems with uncertainty and its Consensus Reaching Processes (CRPs) has become a very important research line in the field of decision making. Most of the proposals focused on linguistic modelling are based on the fuzzy linguistic approach and use linguistic expressions close to the way human beings’ thinking to model the uncertainty inherent in decision problems. However, many of these proposals have limitations in terms of interpretation and/or accuracy. In this doctoral thesis, a new methodological framework has been proposed for the modelling and treatment of uncertainty for GDM and CRPs problems by means of complex linguistic expressions that allow modelling the experts’ opinions in this type of problems.Tesis Univ. Jaén. Departamento de Informática. Leída el 30 de abril de 2021

The generalized dice similarity measures for multiple attribute decision making with hesitant fuzzy linguistic information

In this paper, we shall present some novel Dice similarity measures of hesitant fuzzy linguistic term sets and the generalized Dice similarity measures of hesitant fuzzy linguistic term sets and indicate that the Dice similarity measures and asymmetric measures (projection measures) are the special cases of the generalized Dice similarity measures in some parameter values. Then, we propose the generalized Dice similarity measures-based multiple attribute decision making models with hesitant fuzzy linguistic term sets. Finally, a practical example concerning the evaluation of the quality of movies is given to illustrate the applicability and advantage of the proposed generalized Dice similarity measure

A novel method based on extended uncertain 2-tuple linguistic muirhead mean operators to MAGDM under uncertain 2-tuple linguistic environment

The present work is focused on multi-attribute group decision-making (MAGDM) problems with the uncertain 2-tuple linguistic information (ULI2–tuple) based on new aggregation operators which can capture interrelationships of attributes by a parameter vector P. To begin with, we present some new uncertain 2-tuple linguistic MM aggregation (UL2–tuple-MM) operators to handle MAGDM problems with ULI2–tuple, including the uncertain 2-tuple linguistic Muirhead mean (UL2–tuple-MM) operator, uncertain 2-tuple linguistic weighted Muirhead mean (UL2–tuple-WMM) operator. In addition, we extend UL2–tuple-WMM operator to a new aggregation operator named extended uncertain 2-tuple linguistic weighted Muirhead mean (EUL2–tuple-WMM) operators in order to handle some decision-making problems with ULI2–tuple whose attribute values are expressed in ULI2–tuple and attribute weights are also 2-tuple linguistic information. Whilst, the some properties of these new aggregation operators are obtained and some special cases are discussed. Moreover, we propose a new method to solve the MAGDM problems with ULI2–tuple. Finally, a numerical example is given to show the validity of the proposed method and the advantages of proposed method are also analysed

Desenvolvimento de método multicritério linguístico para avaliação de desempenho e priorização de recursos

Performance indicators are information collected at regular intervals to track the performance of organizations. With scarce resources and a high number of performance indicators, it is difficult to improve all organizational aspects simultaneously. At the same time, several types of indicators have a subjective character with measurement expressed in words with present uncertainty. Management tools and multicriteria decision support methodologies (MCDM) have been used to evaluate the performance of organizations. However, there are limitations in traditional MCDM: independence of criteria and disregard for the collaborative environment. The main objective of this dissertation was to develop a linguistic multicriteria method for collaborative environments with performance evaluation based on subjective information aiming to prioritize resource allocation to generate greater impact on the organization. The proposed method was developed based on a systematic literature review and the adaptation of existing methodologies. It consists of assessing language performance, determining importance based on 2- Tuple Language Weight in determining language importance and capturing influence through DEMATEL 2-Tuple, all being operationalized in a 2-Tuple computational environment. The proposed method introduces the concept of 'Impact' which combines importance (perceived utility) and influence (causality) as different quantities acting on the same system or collaborative environment. The main steps of the method are Structuring, Evaluation, Processing, Result, and Revaluation. To verify the proposed method, the problem reported by Singh et al. (2018) with the contribution of data from Meksavang et al. (2019) referring to the same study, were adapted for application. As a result of the application, it was identified which priority Performance Indicators (PIs), with the highest potential impact, to develop a group of ecologically correct meat suppliers with economic viability, and it was observed that considering the comparative limitations, the suggestions of prioritization captured by the proposed method are in line with the method selection suggestions developed by Singh et al. (2018) and Meksavang et al. (2019) verifying that the steps developed by the proposed method are adequately structured and feasible.Indicadores de desempenho (IDs) são informações coletadas em intervalos regulares para acompanhar o desempenho de organizações. Com recursos escassos e um número elevado de IDs, torna-se difícil aperfeiçoar todos os aspectos organizacionais simultaneamente. Concomitantemente, diversos tipos de IDs têm caráter subjetivo com mensuração expressa em palavras com incerteza presente. Ferramentas da administração e metodologias multicritério de apoio à tomada de decisão (MCDM) têm sido utilizadas para avaliar o desempenho das organizações.Porém há limitações na MCDM tradicional: a independência dos critérios e a desconsideração ao ambiente colaborativo. O principal objetivo desta dissertação foi desenvolver um método multicritério linguístico para ambientes colaborativos com avaliação de desempenho a partir de informações subjetivas visando priorizar alocação de recursos para gerar maior impacto na organização. O método proposto foi desenvolvido com base em uma revisão sistemática de literatura e na adaptação de metodologias existentes. Consiste na avaliação de desempenho linguística, na determinação da importância com base no Peso Linguístico 2-Tuple na determinação da importância linguística e na captação da influência por meio do DEMATEL 2-Tuple, sendo todos operacionalizados em um ambiente computacional 2-Tuple. O método proposto introduz o conceito de „Impacto’ que combina a importância (utilidade percebida) e influência (causalidade) como grandezas diferentes atuantes em um mesmo sistema, ou ambiente colaborativo. As principais etapas do método são: Estruturação, Avaliação, Processamento, Resultado e Reavaliação. Para verificação do método proposto o problema relatado por Singh et al. (2018) com a contribuição dos dados do trabalho de Meksavang et al. (2019) referentes ao mesmo estudo, foram adaptados para aplicação. Como resultado da aplicação identificou-se quais os IDs prioritários, com maior impacto potencial, para desenvolver um grupo de fornecedores de gado ecologicamente corretos com viabilidade econômica, e observou-se que, consideradas as limitações comparativas, as sugestões de priorização captadas pelo método proposto estão alinhadas com as sugestões de seleção dos métodos elaborados por Singh et al. (2018) e Meksavang et al. (2019) verificando que os passos desenvolvidos pelo método proposto são adequadamente estruturados e exequíveis

The translation of cultural references in the Italian dubbing of television series

This research describes the strategies adopted by dubbing professionals (mainly translators) in their translations for dubbing of television series, from English into Italian. More specifically, it means to account for the norms governing the work of the translators in this field. In order to draw substantial conclusions, the analysis is conducted on a corpus of television fiction shows, which is not only sufficiently large but also varied in terms of genre, content, language use, and target audiences. The main focus of the analysis is the translation of culture specific references; a subject that has widely been recognised by scholars as being one of the most problematic translation issues, not only in the case of translation for dubbing but also in other areas such as literary and drama translation. One of the hypotheses presented is that the social and historical context in which dubbing originally came to be in Italy had an impact on its subsequent evolution and can still be relevant when dealing with issues of censorship and manipulation of contents. The methodological foundations of this research rest on Toury’s (1980, 1995) notion of norms in translation. Toury (1980: 51) considers norms to be central to the act and the event of translating. The ultimate aim of this study is, therefore, to map out the strategies activated by translators in response to the cultural environment in which they operate, and to detect the norms that are prevalent in the case of dubbing television series into Italian. The analysis is carried out on a corpus of over 95 hours of television programmes, whole episodes of three fiction series belonging to different genres: Friends (sitcom, USA); Life on Mars (science fiction/police procedural drama, UK); Six Feet Under (drama, USA). All the culture specific elements present in the corpus have been detected and their adaptation into Italian analysed from a quantitative and qualitative point of view in order to highlight the prevalent translational behaviours.Open Acces