Products/fuzzyTECH Editions/Editions Overview

We have created different Editions of fuzzyTECH to complement the specific needs of your target hardware. This page provides you with an overview on the three groups of fuzzyTECH Editions:

• General Purpose fuzzyTECH Edition
  The fuzzyTECH Professional Edition generates portable C code for any hardware supporting a C compiler. The edition also comprise ready-to-use runtime modules.
  
• fuzzyTECH MCU Pack for Embedded Control
  Developed in cooperation with the world's leading silicon manufacturers, the fuzzyTECH MCU Pack feature highly optimized assembly code generation. 
  
• fuzzyTECH IA Editions for Industrial Automation
  The fuzzyTECH IA Editions are optimized for industrial automation systems and generate fuzzy logic function blocks.

Further down on this page you find detailed Technical Specifications for all Editions. To quickly find the right fuzzyTECH Edition for you needs, refer to the FAQ page.

General Purpose fuzzyTECH Edition

• fuzzyTECH Professional Edition
  The universal fuzzy logic design system for all technical application areas. The fuzzyTECH Professional Edition generates systems which can be remotely optimized "on-the-fly" (Online Debugging). The fuzzy logic system is designed, tested, and generated as C code on the PC. Then, the C code is implemented and started on the target hardware. fuzzyTECH can communicate bi-directionally with the implemented code on the target system at any time via a serial cable, TCP/IP or another communication link. The edition lets you export your fuzzy logic system as a plug-in runtime module for PC-based applications. Generates portable C code that can be flexibly adapted to any target hardware and deploys fuzzy logic runtime systems as DLL and ActiveX modules. The superior efficiency of fuzzyTECH's code allows for its use in fast real-time control systems. By supporting advanced fuzzy logic inference methods (compensatory operators, fuzzy associative maps, s-shape membership functions, arbitrary membership functions...), the fuzzyTECH Professional Edition is also ideal for complex fuzzy logic applications. The Professional Edition also allows Online debugging with the PC-based runtime modules. 

  The Edition also support the special "plug-and-play" type runtime modules provided for specific process control software such as InTouch™, FactoryLink™, TheFIX™, Genesis™, and WinCC™. In addition to the M source code generation provided by every fuzzyTECH Edition, the fuzzyTECH Professional Edition also contain a MEX runtime module that provides high-performance computation of fuzzy logic systems in the Matlab/Simulink™ environment. N.B.: Starting with release 5.0, the fuzzyTECH Professional Edition replaces the fuzzyTECH Precompiler Edition.
  

fuzzyTECH MCU Pack for Embedded Control

The fuzzyTECH MCU Pack features assembly code generation for a variety of microcontroller families. This assembly code is highly optimized for the respective microcontrollers and allows for the most efficient implementation possible. All fuzzyTECH MCU Editions can generate C code, too. There is no runtime license fee for C or assembly code. Some fuzzyTECH MCU Editions support RTRCD functionality. All fuzzyTECH MCU Editions support Standard Membership Functions, MIN-MAX Inference, Standard Operators and Standard Defuzzification Methods. Please contact us if you use a microcontroller that is not listed here.

• fuzzyTECH MCU-HC05/08 Edition: Supports all microcontrollers of the 68HC05 and 68HC08 families from Motorola.
  
• fuzzyTECH MCU-HC11/12 Edition: Supports all microcontrollers of the 68HC11xx and 68HC12xx families from Motorola. Utilizes the special fuzzy logic instruction set of the HC12. RTRCD functionality included.
  
• fuzzyTECH MCU-MP Edition: Supports all microcontroller families of Microchip Technologies Inc. (PIC16C5X, PIC16CXX, PIC17CXX).
  
• fuzzyTECH MCU-51 Edition: Supports all microcontrollers of the 8051 and 80251 families. Special libraries for 80517 included. RTRCD functionality included.
  
• fuzzyTECH MCU-96 Edition: Supports all microcontrollers of the MCS^®-96 family from Intel (8096, 80C196, ...). RTRCD functionality included.
  
• fuzzyTECH MCU-166 Edition: Supports all microcontrollers of the C16x family from Siemens. RTRCD functionality included.
  
• fuzzyTECH MCU-320 Edition: Supports all digital signal processors (DSP) of the TMS-320 C2x/3x/4x and 5x families from Texas Instruments.
  

fuzzyTECH IA Editions for Industrial Automation

The fuzzyTECH IA Editions are optimized for Programmable Logic Controllers (PLCs). These Editions generate optimized function blocks for these controllers.  All fuzzyTECH IA Editions feature Online functionality. Please call INFORM if you use a PLC or process controller that is not listed here. Integration with common process control software packages is provided by the fuzzyTECH Professional Edition.

• fuzzyTECH IA-S7 Edition: For Siemens SIMATIC S7™ (300 and 400) PLCs.
  

• fuzzyTECH Professional Edition: For Structured Text by the IEC 61131-3 standard for CoDeSys.
  

Technical Specifications

The following tables provide a summary of the various fuzzyTECH Editions specifications. For a detailed explanation of the terminology used here, download and install the fuzzyTECH Demo from the Download section and use the index function of its Online Help System.

Overview
fuzzyTECH is available in different editions to provide the most comprehensive support for your target platform and application area. Due to differences in the capabilities of the supported hardware platforms, technical restrictions apply to the size of the fuzzy systems. The following table shows an overview of the maximum number of interfaces, variables, terms, rule blocks and rules for the different fuzzyTECH Editions. A "-" sign indicates that no practical limit exists. The total number of  Variables (Total) represent the number of input, output and intermediate variables of the entire fuzzy logic system. The columns Input and Output show the maximum amount of input and output variables. Terms per Variable relates to the total number of terms for each variable. The column Total Terms shows the maximum number of terms that may occur in one fuzzy logic project. The Rules sections shows the maximum total number of Rule Blocks and Rules that a fuzzy logic project may contain, as well as the maximum total number of input variables (Inputs per RB) and output variables (Outputs per RB) that can be assigned to a rule block.

Membership Functions
fuzzyTECH supports various fuzzy logic inference methods and algorithms. The following table lists methods of fuzzification and Types of membership functions (MBF) supported by each fuzzyTECH Edition. Standard MBFs are sometimes called "4-point definitions". Arbitrary MBFs can be defined with up to 16 points of definition. Inverse MBFs (inverse terms) are useful for filling a rule part with the negated form of an already existing term. The column MBF Shapes shows the available approximation functions for membership functions. The column Fuzzification Method lists the supported algorithms for the fuzzification step of the fuzzy logic inference. Fuzzy Input indicates that  variables are inputted as fuzzy values (i.e. as vectors of membership degrees) instead of crisp values. For Look-up-MBF fuzzification, MBFs are computed as look-up-tables by code generators. This speeds up the computation on some microcontrollers and fuzzy processors, but consumes considerable memory space. The standard fuzzification method is computation at run time (MBF Computation). For most target hardware implementations, this is the most efficient approach. On some microcontroller families, the slope fuzzification method (Fast Computation of MBF) is faster. Slope fuzzification is a variant of MBF Computation.

Inference and Defuzzification
The table below summarizes supported methods of fuzzy logic inference and defuzzification. The fuzzy inference consists of three computational steps: Aggregation, Composition, and Result Aggregation. Different operators can be chosen for aggregation (Input aggregation) and result aggregation. Fuzzy operators used for aggregation (Minimum or Maximum) combine the preconditions of each fuzzy rule. Beside this standard operators, some fuzzyTECH Editions support compensatory operators (Gamma, Min-Avg, Min-Max), that help to compute relations between rules formulated with the logic standard operators AND (Minimum) and NOR (Maximum). The second step of the fuzzy rule inference, the composition, works generally with the PROD-Operator as fixed operator. Standard Rules are rules with a fixed rule weight (Degree of Support = 1.0) that cannot be changed. FAM Rules stands for "Fuzzy Associative Maps" and refers to individually weighted rules (Degree of Support = DoS). The last step of fuzzy inference is the so-called result aggregation. Its MAX operator selects the maximum firing degree of all rules matching to the term. The BSUM operator uses a bounded sum. Thus, all firing degrees are summed by using a bound of one. Note that BSUM result aggregation is different from BSUM MoM and BSUM CoA. The bounds are zero and one.

1) Only available as add-on module

The result of the fuzzy inference is a fuzzy value that has to be re-transformed into a crisp value. This transformation is called Defuzzification. Different computation methods can be applied for defuzzification. The standard defuzzification is CoM (Center-of-Maximum), delivering the "best compromise" for the inference result. It is equivalent to most implementations of Center-of-Area (CoA) and Center-of-Gravity (CoG) methods. The MoM (Mean-of-Maximum) method delivers the "most plausible" result. Hence, it is mostly used in applications such as pattern recognition, data analysis, and decision support. The defuzzification method HyperCoM (see last column) is only available as add-on module for a few editions. HyperCoM is a defuzzification method that takes both positive and negative experience into consideration (e.g. in the form of recommendations and warnings). A hyperdefuzzification strategy weights these recommendations and warnings against each other and computes a membership function, from which HyperCoM then computes the optimum based output value.

System Optimization and Analysis, Add-on Modules
All fuzzyTECH Editions come with a complete set of debugging features (Debug Modes) and analysis tools Analyzers (see Table below). Remote debugging, where fuzzyTECH running on the PC debugs a fuzzy logic system running on a different computer/microcontroller, is facilitated by Online and  RTRCD debug modes. The RTRCD debug mode (Real Time Remote Cross Debugging) lets you analyze the running system and modify rules and membership functions. The RTRCD mode is best for embedded systems design and featured as an ad-on to most fuzzyTECH MCU Editions. The Online debug mode in addition allows for all types of modifications on-the-fly. To expand the capabilities of fuzzyTECH, several Add-on Modules are available. The HyperInference Module expands traditional fuzzy logic rule inference with the ability of "prohibitive" rules. Click on the [Add-On Modules] item in the treeview to your left for more information.

¹⁾ Limited RTRCD / Trace Function,²⁾ Only for HC08, ³⁾Using LIBNODAVE⁴⁾ Only available for Motorola: Serial Debug Interface/Background Debug Mode

Code Generation
The table below lists supported code generator options. The File Code option generates a complete C source code for an executable program which accepts file data as input and writes outputs to a file as well. Since fuzzyTECH generates the complete fuzzy logic system as a single function, input and output values can be transferred as function parameters (Function Call) over the system stack or as global variables (Public I/O). Some fuzzyTECH MCU Editions support only Public I/O, since passing variables over the stack can be inefficient. All fuzzyTECH MCU Editions utilizing an assembly library as a kernel support calling fuzzy logic functions from Assembly code and from C code (C interface). The C Code column lists which C compiler standard is supported. Besides, Code Interface Resolution indicates the data types of the interfaces, too.

¹⁾Only available as add on module, ²⁾Using fuzzyTECH Runtime DLL.