مقاله انگلیسی رایگان در مورد ارتباطات زمانی مبهم و سیستم های پشتیبانی تصمیم – الزویر ۲۰۱۸

Introduction

As data mining, decision support systems, and artificial intelligence are quickly entering mainstream technologies, we have to account for the human nature that is innate in people. The recent interest in the field of User Experience (UX) is an important demonstration that software and hardware need to be easily and quickly understood by the users 8. As the user interface is only a filter that mediates between a very subjective user and a very matter-of-fact series of algorithms, we also need to identify ways to let the underlying processes understand and account for the very human concept of imprecision. Keeping the human nature in mind is not just a concept that is applicable to user interfaces, but also to the processes powering decision support systems 4. The vague and often imprecise nature of humans is an essential element to take into account also in the back-end of analytical software. In particular, we have to account for the arbitrary nature of linguistic variables and quantifiers 12, such as ”People purchase more umbrellas when it is very cloudy,” and temporal associations 2, such as ”Sales in football jerseys spike in the days following a team’s victory.” The need for a more elastic reasoning model is even more significant when we put the two concepts together, for example when we warn a friend that ”traffic gets very intense on highway XYZ shortly after it starts raining, even if it is just a light rain. This paper presents a practical approach to creating an association analysis system that leads to a more meaningful and actionable set of recommendations. The workshop-oriented nature of the venue in which this paper is presented lends a great opportunity to explore the inner-workings of this analysis methodology as well as some of the fundamental concepts on which it is based.