Soft Computing Methods in Human Sciences

The book "Soft Computing Methods in Human Sciences" offers a comprehensive examination of soft computing methods and their applications in the human sciences. It addresses advanced techniques such as fuzzy systems, neural networks, evolutionary computations, and probabilistic reasoning, which have proven to be highly effective in theory development and model construction. These methods, originating from the natural sciences, allow for the avoidance of complex mathematical models and instead facilitate the use of simpler, more intuitive models that align better with reality and human thinking. The book emphasizes that despite the extensive literature on soft computing in the natural sciences, its application in the social and behavioral sciences has not yet been sufficiently explored. It illustrates how these innovative methods can open new perspectives in both quantitative and qualitative research by enhancing modeling through computer-based simulations that incorporate approximate and linguistic elements.