Abstract:

Tendering procedures are commonly used tools for public procurement. Even though this practice is a widespread, theory of tendering is not rapidly developing. Growing complexity of offers in fields of architecture or technology, caused by development of knowledge, new materials and technologies, is a reason why tendering theory should be reexamined. This article presents an alternative for decision-making process that was used so far. Soft sets and fuzzy sets have prospect to improve decision-making in case of complex offers by supporting and not replacing human factor. The goal of this article is to present significance of tendering theory, current challenges, attempts to solve them and mathematic tool that can be used to change the approach to these problems. Most of this article uses example of tendering in context of architecture to showcase these challenges. The problem of qualitive variables is usually solved by use of juries and is omitted in many algorithmic and automatic tendering procedures.