This article seeks to enhance multi criteria decision making by providing a scientic approach for decomposing and structuring decision problems. We propose a process, based on concept mapping, which integrates group creativity techniques, card sorting procedures, quantitative data analysis and algorithmic automatization to construct meaningful and complete hierarchies of criteria. The algorithmic aspect is covered by a newly proposed recursive cluster algorithm, which automatically generates hierarchies from card sorting data. Based on comparison with another basic algorithm and empirical engineered and real-case test data, we validate that our process efficiently produces reasonable hierarchies of descriptive elements like goal- or problem-criteria. (authors' abstract)

Checkland developed Soft Systems Methodology (SSM) to address problem situations from a systems perspective; however, SSM needs to be extended with other methods to find superior solutions that overcome the need for a compromise or trade-off between conflicting or contradictory elements. This thesis extends Checkland’s SSM approach to resolve problems with conflicting or contradictory elements. This work integrates the powerful benefits of TRIZ-based analysis into SSM and provides a means for systemic resolution of business problems with conflicting sub-system elements. Furthermore, this study acknowledges that soft problems can have conflicting relationships among their elements, compares the strengths and weaknesses of SSM and TRIZ in problem structuring, and presents a collaborative SSM-TRIZ approach for problem structuring. Finally, this thesis applies the joint methodology to examine the business problem of customer needs assessment for a certain market segment of INCOSE’s planned Professional Development initiative. Although SSM-TRIZ helps structure problems with opposing requirements, it does not always provide definitive, prescriptive solution implementations for technical and business issues. Hence, hard thinking approaches cannot be discarded in practice after implementing SSM-TRIZ. Text mining was selected for providing a final and definite solution to the problem situation of interest.

Doctor of Philosophy (PhD) / Revised work with minor emendations approved by supervisor. / This dissertation considers three broad issues which emerge from the sustainability discourse. First is the nature of the discourse itself, particularly the underlying philosophical positions which are represented. Second, is the nature of the highly complex types of problem which the discourse exposes. And third is whether the engineering profession, as it is practised currently, is adequate to deal with such problems. The sustainability discourse exposes two distinct, fundamentally irreconcilable philosophical positions. The first, “sustainable development”, considers humanity to be privileged in relation to all other species and ecosystems. It is only incumbent upon us to look after the environment to the extent to which it is in our interests to do so. The second, “sustainability”, sees humanity as having no special moral privilege and recognises the moral status of other species, ecosystems, and even wilderness areas. Thus, sustainability imposes upon us a moral obligation to take their status into account and not to degrade or to destroy them. These two conflicting positions give rise to extremely complex problems. An innovative taxonomy of problem complexity has been developed which identifies three broad categories of problem. Of particular interest in this dissertation is the most complex of these, referred to here as the Type 3 problem. The Type 3 problem recognises the systemic complexity of the problem situation but also includes differences of the domain of interests as a fundamental, constituent part of the problem itself. Hence, established systems analysis techniques and reductionist approaches do not work. The domain of interests will typically have disparate ideas and positions, which may be entirely irreconcilable. The dissertation explores the development of philosophy of science, particularly in the last 70 years. It is noted that, unlike the philosophy of science, the philosophy of engineering has not been influenced by developments of critical theory, cultural theory, and postmodernism, which have had significant impact in late 20th-century Western society. This is seen as a constraint on the practice of engineering. Thus, a set of philosophical principles for sustainable engineering practice is developed. Such a change in the philosophy underlying the practice of engineering is seen as necessary if engineers are to engage with and contribute to the resolution of Type 3 problems. Two particular challenges must be overcome, if Type 3 problems are to be satisfactorily resolved. First, issues of belief, values, and morals are central to this problem type and must be included in problem consideration. And second, the problem situation is usually so complex that it challenges the capacity of human cognition to deal with it. Consequently, extensive consideration is given to cognitive and behavioural psychology, in particular to choice, judgement and decision-making in uncertainty. A novel problem-structuring approach is developed on three levels. A set philosophical foundation is established; a theoretical framework, based on general systems theory and established behavioural and cognitive psychological theory, is devised; and a set of tools is proposed to model Type 3 complex problems as a dynamic systems. The approach is different to other systems approaches, in that it enables qualitative exploration of the system to plausible, hypothetical disturbances. The problem-structuring approach is applied in a case study, which relates to the development of a water subsystem for a major metropolis (Sydney, Australia). The technique is also used to critique existing infrastructure planning processes and to propose an alternative approach.

Dealing with the problem between user related knowledge and design, the present thesis underlines the guiding role of designer&rsquo / s user concept as a concept in problem structuring, by framing his/her understanding about user and influencing knowledge use and solution generation. Considering limitations of prevailing user concept in the architectural design studio, underlying problems are detected with reference to knowledge and design contexts, which have critical influence on the formation of user concept, particularly on its capacity to cover qualities of user and its relation with design. Defined narrow content of knowledge context and the detachment between design and knowledge contexts constitute the problematic basis of limited user concept and indicate a need for a shift in student&rsquo / s user understanding. The thesis aims to provide a conceptual framework to define required change referring underlined contexts. The broadening of knowledge context is defined addressing unifying perspective of Universal Design, with its emphasis on diversity, user experience, and knowing user by experience. With reference to the notion of designerly ways of knowing, required constructive relation between knowledge and design contexts is reconceptualized as designerly way of knowing user and defined as user related knowledge generation as part of problem structuring and design concept generation through this knowledge base. The potentials of proposed framework are exemplified by an architectural design studio experience. The analysis shows that when student&rsquo / s user learning is organized within student&rsquo / s actual user investigation as part of problem structuring, it is possible for students to acquire needs and expectations of diverse users and translate them to solutions from user perspective generating user related design concepts. Therefore, proposed conceptual base promises to improve user concept of student not only to involve experiences of diverse users, but also to be designerly.

Doctor of Philosophy (PhD) / Revised work with minor emendations approved by supervisor. / This dissertation considers three broad issues which emerge from the sustainability discourse. First is the nature of the discourse itself, particularly the underlying philosophical positions which are represented. Second, is the nature of the highly complex types of problem which the discourse exposes. And third is whether the engineering profession, as it is practised currently, is adequate to deal with such problems. The sustainability discourse exposes two distinct, fundamentally irreconcilable philosophical positions. The first, “sustainable development”, considers humanity to be privileged in relation to all other species and ecosystems. It is only incumbent upon us to look after the environment to the extent to which it is in our interests to do so. The second, “sustainability”, sees humanity as having no special moral privilege and recognises the moral status of other species, ecosystems, and even wilderness areas. Thus, sustainability imposes upon us a moral obligation to take their status into account and not to degrade or to destroy them. These two conflicting positions give rise to extremely complex problems. An innovative taxonomy of problem complexity has been developed which identifies three broad categories of problem. Of particular interest in this dissertation is the most complex of these, referred to here as the Type 3 problem. The Type 3 problem recognises the systemic complexity of the problem situation but also includes differences of the domain of interests as a fundamental, constituent part of the problem itself. Hence, established systems analysis techniques and reductionist approaches do not work. The domain of interests will typically have disparate ideas and positions, which may be entirely irreconcilable. The dissertation explores the development of philosophy of science, particularly in the last 70 years. It is noted that, unlike the philosophy of science, the philosophy of engineering has not been influenced by developments of critical theory, cultural theory, and postmodernism, which have had significant impact in late 20th-century Western society. This is seen as a constraint on the practice of engineering. Thus, a set of philosophical principles for sustainable engineering practice is developed. Such a change in the philosophy underlying the practice of engineering is seen as necessary if engineers are to engage with and contribute to the resolution of Type 3 problems. Two particular challenges must be overcome, if Type 3 problems are to be satisfactorily resolved. First, issues of belief, values, and morals are central to this problem type and must be included in problem consideration. And second, the problem situation is usually so complex that it challenges the capacity of human cognition to deal with it. Consequently, extensive consideration is given to cognitive and behavioural psychology, in particular to choice, judgement and decision-making in uncertainty. A novel problem-structuring approach is developed on three levels. A set philosophical foundation is established; a theoretical framework, based on general systems theory and established behavioural and cognitive psychological theory, is devised; and a set of tools is proposed to model Type 3 complex problems as a dynamic systems. The approach is different to other systems approaches, in that it enables qualitative exploration of the system to plausible, hypothetical disturbances. The problem-structuring approach is applied in a case study, which relates to the development of a water subsystem for a major metropolis (Sydney, Australia). The technique is also used to critique existing infrastructure planning processes and to propose an alternative approach.

Doctor of Philosophy (PhD) / Revised work with minor emendations approved by supervisor. / This dissertation considers three broad issues which emerge from the sustainability discourse. First is the nature of the discourse itself, particularly the underlying philosophical positions which are represented. Second, is the nature of the highly complex types of problem which the discourse exposes. And third is whether the engineering profession, as it is practised currently, is adequate to deal with such problems. The sustainability discourse exposes two distinct, fundamentally irreconcilable philosophical positions. The first, “sustainable development”, considers humanity to be privileged in relation to all other species and ecosystems. It is only incumbent upon us to look after the environment to the extent to which it is in our interests to do so. The second, “sustainability”, sees humanity as having no special moral privilege and recognises the moral status of other species, ecosystems, and even wilderness areas. Thus, sustainability imposes upon us a moral obligation to take their status into account and not to degrade or to destroy them. These two conflicting positions give rise to extremely complex problems. An innovative taxonomy of problem complexity has been developed which identifies three broad categories of problem. Of particular interest in this dissertation is the most complex of these, referred to here as the Type 3 problem. The Type 3 problem recognises the systemic complexity of the problem situation but also includes differences of the domain of interests as a fundamental, constituent part of the problem itself. Hence, established systems analysis techniques and reductionist approaches do not work. The domain of interests will typically have disparate ideas and positions, which may be entirely irreconcilable. The dissertation explores the development of philosophy of science, particularly in the last 70 years. It is noted that, unlike the philosophy of science, the philosophy of engineering has not been influenced by developments of critical theory, cultural theory, and postmodernism, which have had significant impact in late 20th-century Western society. This is seen as a constraint on the practice of engineering. Thus, a set of philosophical principles for sustainable engineering practice is developed. Such a change in the philosophy underlying the practice of engineering is seen as necessary if engineers are to engage with and contribute to the resolution of Type 3 problems. Two particular challenges must be overcome, if Type 3 problems are to be satisfactorily resolved. First, issues of belief, values, and morals are central to this problem type and must be included in problem consideration. And second, the problem situation is usually so complex that it challenges the capacity of human cognition to deal with it. Consequently, extensive consideration is given to cognitive and behavioural psychology, in particular to choice, judgement and decision-making in uncertainty. A novel problem-structuring approach is developed on three levels. A set philosophical foundation is established; a theoretical framework, based on general systems theory and established behavioural and cognitive psychological theory, is devised; and a set of tools is proposed to model Type 3 complex problems as a dynamic systems. The approach is different to other systems approaches, in that it enables qualitative exploration of the system to plausible, hypothetical disturbances. The problem-structuring approach is applied in a case study, which relates to the development of a water subsystem for a major metropolis (Sydney, Australia). The technique is also used to critique existing infrastructure planning processes and to propose an alternative approach.

Submitted by Fabio Sobreira Campos da Costa (fabio.sobreira@ufpe.br) on 2017-05-16T12:54:11Z No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Tese Annielli Final Eng Produção.pdf: 1814655 bytes, checksum: dd58ccbb6433d83fe5fa716f0ccb14ea (MD5) / Made available in DSpace on 2017-05-16T12:54:11Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Tese Annielli Final Eng Produção.pdf: 1814655 bytes, checksum: dd58ccbb6433d83fe5fa716f0ccb14ea (MD5) Previous issue date: 2016-05-25 / Os métodos de estruturação de problemas, ou Problem Structuring Methods (PSM) foram desenvolvidos para apoiar o processo de decisão em grupo permitindo que os atores possam entender o problema em foco e se comprometer com uma ação subsequente. No entanto, apesar de sua popularização, há uma escassez de estudos que avaliem a aplicação prática do uso de métodos de estruturação de problemas, de forma analítica e comparativa e proponham alternativas práticas para lidar com os problemas identificados. Dessa forma, esse trabalho analisou as consequências práticas do uso de PSM em um processo de decisão em grupo, identificou oportunidades de melhoria em sua prática e propôs um modelo considerando estas oportunidades. Para isso, foram realizados dois experimentos, seguindo uma abordagem de avaliação pragmática baseada na teoria. Os resultados dos experimentos sugeriram que são necessários cuidados e intervenções para que o uso de um método cumpra o seu propósito. Percebeu-se a necessidade do desenvolvimento de modelos que auxiliem na construção de mapas cognitivos, melhorando a comunicação entre os envolvidos, considerando o papel do facilitador e a influência que este exerce sobre o processo. Dessa forma, foi proposto um modelo para construção de mapas que envolve as seguintes etapas: workshop, construção de mapas individuais e agregação de mapas individuais em um mapa coletivo. Cada etapa é descrita com um exemplo ilustrativo. Finalmente, atendendo a necessidade de abordagens de validação de modelos, um questionário foi desenvolvido considerando uma matriz que engloba tipos e aspectos de validação apresentados na literatura, e assim, os participantes podem avaliar, utilizando uma escala likert, não apenas os resultados, mas todo o processo e o cumprimento dos objetivos estabelecidos. Embora o questionário de validação não possa ser recomendado para avaliar a aplicação de todos os PSMs, sua estrutura pode servir de referência para diversas práticas. / The problem structuring methods (PSM) have been developed to support the group decision process allowing the actors to understand the problem in focus and commit to a subsequent action. However, despite its popularity, there is a lack of studies that assess the practical application of the use of problem structuring methods, analytical and comparatively and propose alternative practices to deal with the problems identified. Thus, this study analyzed the practical consequences of PSM use in a group decision process, identified improvement opportunities in their practice and proposed a model considering these opportunities. For this, two experiments were carried out, following a pragmatic assessment approach based on the theory. The results of the experiments suggest that is needed caution and interventions for the use of a method fulfills its purpose. The need to develop models that help build cognitive maps and to improve communication between those involved, considering the role of facilitator and influence over the process was one of the perceived opportunities. Thus, a model was proposed to build maps that involve the following steps: workshop, building individual maps and aggregation maps. Each step is described with an illustrative example. Finally, given the need for model validation approaches, a questionnaire was developed considering a matrix that encompasses important aspects of literature, and so, participants can evaluate, using a Likert scale, not only the results, but the whole process and meet the goals established. Although the validation questionnaire can not be recommended to evaluate the implementation of all PSMs, its structure can serve as a reference for various practices.

This study presents an analysis of policies addressing child mortality in Pakistan focusing on problem structuring, using a comparison with Bangladesh. Pakistan's progress in addressing child mortality rate has been much slower than that of Bangladesh despite the fact that Pakistan has excelled in economic growth, and the two countries have comparable populations and share political history. This study analyzes and provides an explanation for differential outcomes in terms of problem structuring in the two countries. A comparative analysis of policy documents reviewed for the two countries illustrates the fact that Bangladesh, in formulating its child health policy, has emphasized the input factors such as nutrition and environmental aspects, besides health services. Pakistan, on the other hand, maintains a general problem formulation strategy focusing mainly on health service and ignoring the social, environmental, and other factors causing morbidity and mortality in children. Another comparison between policy formulation in each country and the extensive literature available on child mortality suggest that neither country pays as much attention to structural factors as the literature does. The analysis provides some insight into differentials in policy formulation associated with child mortality in the two countries, but more importantly, it provides an understanding of the underlying elements for inadequate policy outcomes in case of Pakistan.

La thèse propose d’abord un cadre général pour l’analyse de l’incertain durant les différentes phases du processus de planification énergétique à long terme à base de modèles de villes ou territoires (IEPCT). Il inclut des critères d’évaluation de la qualité d’une démarche IEPCT. Puis deux méthodes d’analyses de l’incertain sont proposées pour les activités de modélisation et de scénarisation du système énergétique : l’une basée sur l’échantillonnage aléatoire (PRSUA) et l’autre sur les scénarios flous (FSUA). Leur implémentation sur des cas a permis de montrer leur faisabilité et leur performance du point de vue des critères de qualité. La méthode PRSUA est plus gourmande en données, elle est plus adaptée à la planification sectorielle court moyen terme et tandis que FSUA convient plus à la planification long terme intersectorielle.Enfin une méthode pour la réalisation de l’ensemble des activités liées à la structuration d’un problème de planification spécifique (IMMA) est proposée. / The Phd first proposes a methodological framework for addressing different types of uncertainty within long range ntegrated energy planning for cities and territories (IEPCT) processes which includes requirements and quality factors. Second, two methods for uncertainty analysis of modelling tasks are proposed. One approach is probabilistic random sampling approach (PRSUA) another one is fuzzy scenario approach (FSUA). Compared to FSUA, the PRSUA framework is more data intensive. PRSUA is more suitable for short or midterm sector specific domain analysis, FSUA is more appropriate for long range cross sectoral integrated planning.Third it is proposed an innovative approach (IMMA) for supporting not only uncertainties in IEPCT first phase but also all other tasks relevant to this planning phase. Implementation of IMMA in Singapore shows that it can address all identified tasks and help developing requirements for innovative solutions.

The real estate selection process might be regarded as a typical Multi-Criteria Decision Making (MCDM) problem. With current literature concentrating predominantly on institutional investment decision making, additional effort should be directed towards studying inexperienced homebuyers who want to buy a property in which to live. In this context, authors have described the decision environment as a complex decision process with restricted access to property data, high financial burdens partially due to the illiquid nature of the investment, the unfamiliarity with the decision task and low transparency in information aggregation. Consequently, this situation could benefit from a more structured approach that assists homebuyers in their actions. In order to guide the decision making process and provide a suitable support mechanism, it is necessary to first structure the problem and extract the required information. A thorough literature review shows that little guidance is available for MCDM problem structuring. Consequently, this research first proposes an MCDM problem-structuring framework to decompose complex problems into smaller parts. Foremost, the application is intended for high-involvement consumer products and services. This framework is derived from MCDM and methodology literature, where the former provides the elements that need to be defined in any MCDM problem situation, and the latter suggests suitable data collection and analysis methods to obtain the information. As a result, the first contribution to existing literature is the introduction of an MCDM problem-structuring framework, which consists of a carefully designed sequential exploratory mixed method procedure. Next, following the proposed structure, the real estate selection problem in Majorca (Spain) is defined. Whilst providing the inherent problem elements and establishing a comprehensive list of evaluation criteria to assess luxury properties, the fieldwork also offers behavioural insights, contributing and supplementing existing real estate research. In particular, major misunderstandings and false assumptions during real estate agent and client interactions are observed, stressing the need to optimise communication and targeting strategies. On the basis of the relevant real estate evaluation criteria, a dataset of alternative houses is created and subsequently rated by prospective luxury-homebuyers. This provides the basis for the third research focus, the construction of a decision support model for real estate selection. In accordance to the problem features and model requirements, the Evidential Reasoning (ER) rule is identified to offer a powerful and transparent evidence aggregation process, with the potential to have a superior performance than other methods in addressing the selection decision. Due to the ER rule’s short history (2013), application studies in general are practically non-existing and unprecedented in the real estate domain. Therefore, the use of a modified ER model can provide the real estate literature with a prescriptive multi-criteria decision support mechanism, whilst simultaneously offering an application study for the MCDM community and other relevant decision analysis domains. In closing, modelling a real problem using the ER rule highlights the method’s advantages and might in turn increase awareness, leading to more applications.