Soft computing models in online real estate

Abstract

In this paper we present a decision support system that uses soft computing models for evaluation, selection and pricing of homes. The system (called LSPhome) is based on the Logic Scoring of Preference (LSP) evaluation method and implemented in the context of online real estate. The goal of this system is to use weighted compensative logic models that can precisely express user needs, and help both buyers and sellers of homes. The design of such a system creates specific logic and computational challenges. Soft computing logic problems include the use of verbalized importance scales for derivation of andness, penalty-controlled missingness-tolerant logic aggregation, detailed and verbalized presentation of evaluation results, and development of optimum pricing models. Computational problems include fast and parallel collection of heterogeneous information from the Internet, and development of user interface for fast and simple creation of customized soft computing decision criteria by nonprofessional decision makers. © 2014 Springer International Publishing Switzerland.