This book presents the proceedings of the 13th International Conference on Application of Fuzzy Systems and Soft Computing (ICAFS 2018), held in Warsaw, Poland on August 27-28, 2018. It includes contributions from diverse areas of soft computing such as uncertain computation, Z-information processing, neuro-fuzzy approaches, evolutionary computing and others. The topics of the papers include theory of uncertainty computation; theory and application of soft computing; decision theory with imperfect information; neuro-fuzzy technology; image processing with soft computing; intelligent control; machine learning; fuzzy logic in data analytics and data mining; evolutionary computing; chaotic systems; soft computing in business, economics and finance; fuzzy logic and soft computing in the earth sciences; fuzzy logic and soft computing in engineering; soft computing in medicine, biomedical engineering and the pharmaceutical sciences; and probabilistic and statistical reasoning in the social and educational sciences.

From status quo bias to innovative multiagent decisions under fuzzy preferences and fuzzy majority.- Bimodal information clustering methods.- Maximum likelihood estimation from interval-valued data. Application to fuzzy clustering.- Theory and practice of material development under imperfect information.- Forming and Quantifying Consensus in Distributed System Modeling and Group Decision-Making:A Perspective of Granular Computing.- Why multidimensional fuzzy arithmetic?.- On Using Fuzzy Sets in Healthcare Process Analysis.- Optimization of Jobs in GIS by Coloring of Fuzzy Temporal Graph.- Algebraic Properties Of Z -Numbers Under Multiplicative Arithmetic Operations.- Z-number based TOPSIS method in multi-criteria decision making.- Comparative Analysis of Artificial Intelligence Based Methods for Prediction of Precipitation. Case Study: North Cyprus.- Analysis and Processing of Informationin Economic Problems. Crisp and Fuzzy Technologies.- Labeled Fuzzy Rough Sets in Multiple-criteria Decision-making.- Comparing Image Distortion of LSB.- An Effective Fuzzy Controlled Filter for Feature Extraction Method.- Analysis of Prediction Models for Wind Power Density, Case Study: Ercan Area, Northern Cyprus.- Evaluation of Image Representations for Player Detection in Field Sports using Convolutional Neural Networks.- A Fuzzy Based Gaussian Weighted Moving Windowing for Denoising Electrocardiogram (ECG) Signals.- Integrated Deep Learning Structures For Hand Gesture Recognition.- Rule Based Intelligent Diabetes Diagnosis System.- Intensive Investigation in Differential Diagnosis of Erythemato-Squamous Diseases.- A Computational-Intelligence Based Approach to Diagnosis of Diabetes Mellitus Disease.- Fuzzy Expert system for rectal cancer.