| Introduction | p. 1 |
| MISO Takagi-Sugeno Fuzzy System with Linear Membership Functions | p. 3 |
| Perfect Approximation of Nonlinear Functions Using the Simplest Takagi-Sugeno Model | p. 3 |
| Assumptions and Linguistic Interpretation of Linear Membership Functions | p. 7 |
| Compact Description of the MISO TS System | p. 9 |
| Crisp Output of the Zero-Order MISO P1-TS System | p. 11 |
| Completeness and Noncontradiction in Rule-Based Systems Defined by Metarules | p. 16 |
| Matrix Description of the MIMO Fuzzy Rule-Based System | p. 18 |
| Equivalence Problem in the Rule-Based Systems | p. 20 |
| Summary | p. 23 |
| Recursion in TS Systems with Two Fuzzy Sets for Every Input | p. 25 |
| Some Features of the Fundamental Matrix and Its Inverse | p. 25 |
| Theorem on Recursion for P1-TS Systems | p. 27 |
| Rule-Base Decomposition | p. 28 |
| Crisp Output Calculation for P1-TS System Using Recursion | p. 29 |
| Recursion in More General TS Systems with Two Fuzzy Sets for Every Input | p. 31 |
| MIMO TS Systems with Inference Concerning the Structure Parameters | p. 38 |
| Boundedness of P1-TS Systems | p. 57 |
| Summary | p. 58 |
| Fuzzy Rule-Based Systems with Polynomial Membership Functions | p. 61 |
| TS Systems with Two Polynomial Membership Functions for Every Input | p. 62 |
| The Normalized Membership Functions for P2-TS Systems | p. 64 |
| SISO P2-TS System | p. 66 |
| P2-TS System with Two and More Inputs | p. 69 |
| Rule-Base Structure for Two-Inputs-One-Output P2-TS System | p. 71 |
| Rule-Base Structure for Three-Inputs-One-Output P2-TS System | p. 72 |
| The Fundamental Matrix for MISO P2-TS System | p. 73 |
| Recursion in MISO P2-TS Systems | p. 83 |
| Rule-Base Decomposition | p. 84 |
| Crisp Output Calculation for P2-TS System Using Recursion | p. 86 |
| Recursion in More General TS Systems with Three Fuzzy Sets for Every Input | p. 96 |
| Summary | p. 99 |
| Comprehensive Study and Applications of P1-TS Systems | p. 101 |
| P1-TS Systems with Two Inputs | p. 102 |
| General Case | p. 102 |
| A Simple Controller Design for a Milk of Lime Blending Tank | p. 103 |
| P1-TS Systems with Inputs and Outputs from the Unity Interval | p. 107 |
| P1-TS Fuzzy Systems with Three Inputs | p. 110 |
| General Case | p. 110 |
| Examples of Highly Interpretable P1-TS Systems with Three Inputs | p. 111 |
| Examples of P1-TS Systems with Four and More Inputs | p. 121 |
| Low Order Atmospheric Circulation Model | p. 129 |
| Induction Motor Model | p. 132 |
| Acclimatization Chamber Model | p. 137 |
| Optimal Fuzzy Control System Design for Second Order Plant | p. 139 |
| Highly Interpretable Fuzzy Rules for PID Controller | p. 139 |
| Optimal PID Fuzzy Controller for Linear Second Order Plant | p. 141 |
| PD-Like Optimal Controller for Nonlinear Second Order Plant | p. 143 |
| P1-TS System as Controller with Variable Gains | p. 148 |
| Exact Modeling of Single-Input Dynamical Systems | p. 151 |
| Exact Modeling of MIMO Linear Dynamical Systems | p. 160 |
| Strong Triangular Fuzzy Partition | p. 164 |
| Linearity Condition for P1-TS Systems | p. 174 |
| The First-Order P1-TS Systems | p. 175 |
| Zero-Order TS System with Contradictory Rule-Base | p. 177 |
| Summary | p. 179 |
| Modeling of Multilinear Dynamical Systems from Experimental Data | p. 183 |
| Problem Statement | p. 183 |
| Problem Solution | p. 184 |
| Analytical Solution for Dynamical Systems with Two Variables | p. 188 |
| Estimation of P1-TS Model by Recursive Least Squares | p. 195 |
| Summary | p. 196 |
| Binary Classification Using P1-TS Rule Scheme | p. 199 |
| Problem Description | p. 200 |
| The Fuzzy Rules with Proximity Degrees | p. 202 |
| Binary Classifier Equation | p. 203 |
| P1-TS System with Similarity Degrees as Optimal Binary Classifier | p. 210 |
| The Regularization Algorithm and Support Vector Machines | p. 213 |
| Summary | p. 215 |
| Kronecker Product of Matrices | p. 217 |
| Generators and Fundamental Matrices for P1-TS Systems | p. 219 |
| Formulas for n = 1 | p. 219 |
| Vertices of the Interval D1 = [-¿1, ß1] | p. 219 |
| Generator | p. 219 |
| Fundamental Matrix and Its Inverse | p. 219 |
| Formulas for n = 2 | p. 220 |
| Vertices of the Rectangle D2 = [-¿1, ß1] ¿[-¿2, ß2] | p. 220 |
| Generator | p. 220 |
| Fundamental Matrix and Its Inverse | p. 220 |
| Formulas for n = 3 | p. 221 |
| Vertices of the Cuboid D3 = [-¿1, ß1] ¿[-¿2, ß2] ¿[-¿3, ß3] | p. 221 |
| Generator | p. 221 |
| Fundamental Matrix and Its Inverse | p. 221 |
| Formulas for n = 4 | p. 222 |
| Vertices of the Hypercuboid D4 = [-¿1, ß1] ¿... ¿[-¿4, ß4] | p. 222 |
| Generator | p. 223 |
| Fundamental Matrix and Its Inverse | p. 223 |
| Proofs of Theorems, Remarks and Algorithms | p. 231 |
| Proof of Remark 3.2 | p. 231 |
| Proof of Remark 3.3 | p. 232 |
| Proof of Corollary 5.27 | p. 233 |
| Proof of RLS Algorithm from Section 6.4 | p. 234 |
| References | p. 237 |
| Index | p. 249 |
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