Ian N. Durbach

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This paper considers the use of scenarios to treat uncertain attribute evaluations in the outranking methods. The scenario-based approach allows the decision maker to think deterministically about the problem by attaching causal links to a small number of potential outcomes, instead of using probability distributions. The scenario approach can be expressed(More)
This paper proposes and evaluates a descriptive multiattribute choice model based upon the notion of acceptability developed in the stochastic multicriteria acceptability analysis (SMAA) methods. The acceptability index is simply the relative proportion of all possible preference structures that support the selection of a particular alternative, and is(More)
This paper considers a commonly-held belief about sequential cricketing data, which states that batsmen go through periods of good and bad batting ‘form’ that are longer than one could expect from the outcome of a random process. We test this belief against empirical data, find a distinct lack of support for it, and give some simple psychological(More)
We use an agent-based model to examine the influence of word-of-mouth communication in environments where agents select products by using positive referrals from other satisfied agents as well as their own preferences and perceptions. The role of referrals is illustrated using a complex decision environment that incorporates a number of psychological(More)
We investigate a framework where agents search for satisfying products by using referrals from other agents. Our model of a mechanism for transmitting word-of-mouth and the resulting behavioural effects is based on integrating a module governing the local behaviour of agents with a module governing the structure and function of the underlying network of(More)
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