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Firstly, the notion of duality is introduced and the generalized amplitude given in terms of the Koba - Nielsen variables. Furthermore, from the point of view of wave functions it is shown how the dynamical importance of spin implies an internal structure or extended description of hadrons which may be linked with duality (or internal symmetry),Then, in the following chapter, we first of all describe how certain mathematical characteristics emerge as being desirable for a strong interaction theory and indicate how these appear in various models, the relationships between which we also explain. It then appears that the most suitable language in which to discuss these properties is that of two-dimensional Riemann surfaces, which are most prominent in the Analogue Model. Chapter III indicates how the structure in dual models may be simply derived without an explicit physical interpretation (as in the functional integral formalism) - Ramond's Correspondence Principle. In the final chapter we propose an approach which embodies the surface description and the mathematical attributes mentioned above (without a tachyon). Furthermore, it amounts to an extended description of interacting hadrons, which, when reconciled with Poincare invariance, leads to the internal symmetry group of the original models.

The foundations of multi-attribute utility theory are reviewed and compared with the author's practical experience and other psychological studies of decision-making. The case is presented for a new approach to decision-making, moving away from the strictly numerical techniques. Instead of concentrating on the normative or descriptive aspects of decision-making, themed-problem of decision-making is studied, thereby giving the decision-maker more control over the decision-making process and ensuring a more truly participative approach to design and decision-making. The problem of uncertainty is also tackled by considering it from both the stochastic and fuzzy standpoints. A revised approach to the assessment of uncertainty and its incorporation in the decision-making process is advocated. The theoretical framework behind these ideas is expressed using fuzzy set theory. Previous attempts to apply fuzzy set theory to multi-attribute decision-making are reviewed and criticised for their failure to tackle the basic assumptions of multi-attribute utility theory. A practical methodology for using verbal descriptions is derived, and illustrated with a worked example. A practical description of how to apply the method is included, and the results of some applications are presented.