Decision Maps for Distributed Scenario-Based Multi-Criteria Decision Support

This thesis presents the Decision Map approach to support decision-makers facing complex uncertain problems that defy standardised solutions. First, scenarios are generated in a distributed manner: the reasoning processes can be adapted to the problem at hand whilst respecting constraints in time and availability of experts. Second, by integrating scenarios and MCDA, this approach facilitates robust decision-making respecting multiple criteria in a transparent well-structured manner

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

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Semantic and pragmatic characterization of learning objects

Tese de doutoramento. Engenharia Informática. Universidade do Porto. Faculdade de Engenharia. 201

AVOIDING COLLAPSE: RESILIENCE AND SUSTAINABLE DEVELOPMENT IN VULNERABLE SMALL ISLANDS

Small islands dependent on reef fisheries, farming and tourism are vulnerable to rising human and natural pressures and may target "sustainable" development. Marine Protected Areas (MPA) have a proven ability to meet ecological goals, such as restoring fisheries and preserving ecosystem function across scales. However, there is a comparative lack of scientific baseline data and social research which may help local MPA to overcome failures in achieving mixed conservation and development goals in populated coastal areas facing intense pressure. This fieldwork-based case study researched in French and Creole languages in the sub-tropical, mid-Oceanic island of Rodrigues (Mauritius, Indian Ocean) addresses two main questions: "Are conservation and development compatible goals for MPA in small islands reliant on fisheries and tourism?", and, "Do social-ecological resilience concepts help clarify related issues of sustainability?". Results from two quantitative surveys with fishers {n=93) and tourists (n=351) on one level support a "win-win" scenario for conservation and development. Local fishers' knowledge suggested marine fish species including large predators of ecological and economic significance had been in decline for decades. Tourists' stated willingness to pay to use Marine and Coastal Protected Areas could help fund consen/ation of biodiversity and fishery enhancement, with fee options ranging from MPA up to island-level. Beyond this, downside risks emerged from qualitative interviews with key informants (n=70) and historical analysis of island-level social-ecological resilience testing the explanatory value of the conceptual Adaptive Cycle model (Holling and Gunderson 2002). A recent crisis catalysed by severe drought (1970s) led to deep social and ecological changes (collapse in farming, migration and external dependence), while subsequent policies failed to address key drivers, instead creating negative feedbacks ensuring degradation extended outward from the coast. Remote and vulnerable small islands with few resources (forests, soil, water, energy) need significant capital inputs from higher scales which are seldom taken into account in determining the balance of winners and losers in conservation and development policy at MPA or island level. A lack of interisland trust (social capital), water scarcity, climate change and migration arise as critical issues for the future. Rodrigues characterises the secondary importance of island regions within larger Island states, and underlines the cross-scale and cross-temporal nature of sustainability in resilience terms. This thesis' main contribution lies in its first demonstration of shifting baselines in an island reef fishery or MPA context. Findings contributed to the establishment of MPA In the fieldwork site of Rodrigues, and are of broad relevance for MPA policy across the tropics and beyond. More studies are needed across other ecosystems and cultures

Advances and Applications of DSmT for Information Fusion. Collected Works, Volume 5

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well

New Advances in Formosan Linguistics

The present volume is a festschrift in honour of Lillian M. Huang, who, in a very few years, became a leading figure in Formosan linguistics after she obtained her PhD degree in 1987. Over the past twenty-eight years, she has been involved in important groundwork, in both academia and indigenous language policies in Taiwan, as we will show below (sections 3 and 4). She has been engaged in the development of both through her pre-eminent role in projects relating to typological studies on Formosan languages in the early 1990s, and on language teaching materials and proficiency tests since the late 1990s and early 2000s. Lillian may retire in a few years. Before she does, we thought it would be most appropriate to honour her by putting together papers by a number of scholars and students who have benefitted from or have been in contact with her in one way or another (e.g. through collaborative work, teaching, supervising, advising etc.). The idea of such a volume was conceived by Elizabeth Zeitoun in the autumn of 2009. Further plans were initially worked out with Stacy F. Teng, soon joined by Joy J. Wu. The three editors have been close to Lillian since the early and mid 1990s. Of the three, Zeitoun, who has been working with her on diverse projects for over twenty years, is her closest collaborator on the academic level. Both Wu and Teng were Lillian’s MA supervisees. Through her fieldwork courses, she introduced Wu to Amis and Teng to Puyuma, languages on which they are still working. The title of the present volume, New advances in Formosan linguistics, reflects our pursuit of publishing cutting-edge, provocative, and thoughtful papers that explore new directions and perspectives on Formosan languages and linguistics. It is worth noticing that this is the first collected volume on Formosan languages that has not issued from a workshop or a conference—the papers included in this volume are thus varied in terms of topic coverage—and the first that specifically deals with (and covers nearly all) the Formosan languages, a grouping understood in its broader context, that is, including Yami, a Batanic (Philippine) language spoken on Orchid Island under the political jurisdiction of Taiwan. (Note: first three paragraphs of foreward)

Ideophone im Awetí

The dissertation describes the phenomenon of ideophones in Awetí, a Tupian language spoken in the Amazonian lowlands in Central Brazil. Ideophones are marked words in Awetí discourse which are performed rather than simply spoken and which depict salient features of activities. The dissertation also includes a concise grammar of the Awetí language.Die Doktorarbeit beschreibt das Phänomen der Ideophone in Awetí, einer Tupi-Sprache, die im Amazonastiefland in Zentralbrasilien gesprochen wird. Bei Ideophonen handelt es sich um markierte Wörter im Awetí Diskurs, die zusätzlich zur rein sprachlichen eine performative Ebene haben und perzeptionell auffällige Eigenschaften von Aktivitäten abbilden. Die Dissertation enthält zusätzlich eine Kurzgrammatik des Awetí

Fuelling the zero-emissions road freight of the future: routing of mobile fuellers

The future of zero-emissions road freight is closely tied to the sufficient availability of new and clean fuel options such as electricity and Hydrogen. In goods distribution using Electric Commercial Vehicles (ECVs) and Hydrogen Fuel Cell Vehicles (HFCVs) a major challenge in the transition period would pertain to their limited autonomy and scarce and unevenly distributed refuelling stations. One viable solution to facilitate and speed up the adoption of ECVs/HFCVs by logistics, however, is to get the fuel to the point where it is needed (instead of diverting the route of delivery vehicles to refuelling stations) using "Mobile Fuellers (MFs)". These are mobile battery swapping/recharging vans or mobile Hydrogen fuellers that can travel to a running ECV/HFCV to provide the fuel they require to complete their delivery routes at a rendezvous time and space. In this presentation, new vehicle routing models will be presented for a third party company that provides MF services. In the proposed problem variant, the MF provider company receives routing plans of multiple customer companies and has to design routes for a fleet of capacitated MFs that have to synchronise their routes with the running vehicles to deliver the required amount of fuel on-the-fly. This presentation will discuss and compare several mathematical models based on different business models and collaborative logistics scenarios