Syftet med denna studie är att undersöka vilka faktorer som påverkat före detta missbrukares förmåga att leva drogfritt och vad som gjort att de lyckats. Studien utgår ifrån en kvalitativ ansats och empiri insamlades genom intervjuer med fyra före detta missbrukare. Empirin har analyserats med teorier om motivation, risk- och skyddsfaktorer, resiliens och constraint-teori. Studien visar att den inre motivationen att vara drogfri är central för att människor ska kunna ta sig ur sitt missbruk. Strategier som används är att ta avstånd från det gamla sociala nätverket, söka nya drogfria kontakter och att medvetet associera återfall med negativa konsekvenser. Aktivt deltagande i föreningsliv och behandling gav viktiga strukturer för informanterna att etablera sig i den drogfria världen. För att kunna stödja individen behöver omgivningen vara flexibel och utgå från individens förutsättningar och vilja. / The purpose of this study is to examine what factors have affected former addicts abilities to live drug free and what has made it possible for them to succeed. The study employed a qualitative research method and data was collected through interviews with four former addicts. Data was analysed with theories concerning motivation, risk- and protective factors, resilience and constraint-theory. The results of this study show that the intrinsic motivation to be drug free was found to be important to break the addiction. Strategies that the participants had employed were to avoid their former network, seek new drug free company and to consciously associate relapse with negative consequences. Actively participating in associations and treatment provided important structures that enabled the participants to establish themselves in the drug free world. To be able to provide support the environment needs to take into account the conditions and will of the individuals.

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Computing with Words based Question Answering (CWQA) system provides a foundation to develop futuristic search engines where more of reasoning and less of pattern matching and statistical methods are used for information retrieval. In order to perform successful reasoning, these systems should analyze the semantic of the query and the related information in the Knowledge Base. The concept of Computing with Words (CW) which is a kind of perception based reasoning where manipulation of perceptions using fuzzy set theory and fuzzy logic play a key role in recognition, decision and execution processes can be utilized for this purpose. Two concepts that were introduced by Computing with Words are the Generalized Constraint Language (GCL) and the Generalized Theory of Uncertainty (GTU) . In GCL propositions, i.e. perceptions in natural language, are denoted using generalized constraints. The Generalized Theory of Uncertainty (GTU) uses GCL to express proposition drawn from natural language as a generalized constraint. The GCL plays a fundamental role in GTU by serving as a precisiation language for propositions, commands and questions in natural language. In GTU, deduction rules are used to propagate generalized constraints to accomplish reasoning under uncertainty. In the previous work a CW-based QA-system methodology was introduced which uses a knowledge tree data structure, called as a Constraint Propagation Tree (CPT) that utilizes the concepts briefed above. The realization of Constraint Propagation Tree, the first phase, and partial implementation of constraint propagation and node combination, the second phase, is the main goal of this work.

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