Fuzzy logic models

2012 EEN Forum
Posted by Environmental Evaluators on 19, July 2012 with 1 Comment

Led by Rupu Gupta and Matt Keene

Functionality and multiple uses of logic models discussed in depth – question about how the data from the logic models will be used, following presentation of examples of fuzzy logic models and agent based modeling

Keeping the fuzziness of the models may be important. Keeping the uncertainty alive may be useful.

Logic models typically do not end up being used by stakeholders, they usually end up in appendices of documents.

Collaborate on an interface to develop logic model to make it apply across projects; ways to make logic models be more accessible.

Post session discussions made evident that interfaces for logic models that can be tailored for individuals’ and groups’ needs are being planned.

1 Comment

  1. Admin
    Matt Keene
    23 July 12, 6:06am

    An AEA365 blog post about Fuzzy Logic Models (FLMs) can be found here: http://aea365.org/blog/?p=3254

    More about FLMs can be found in the most recent edition of “The Logic Model Guidebook: Better Strategies for Great Results Second Edition” by
    Lisa Wyatt Knowlton and Cynthia C. Phillips

    Evaluation teams use logic models for program description, communications and designing evaluation questions and methods. The development and use of logic models is often limited to the immediate stakeholders of a clearly defined program during the initial stages of the evaluation process.

    A fuzzy logic model embraces fluid and approximate reasoning and varied context and assumptions with the aim of improving the capacity of models of program theory to navigate non-linearity, feedback loops, adaptive agents and other characteristics inherent in the dynamic systems in which we work. Integrating web 2.0, graphic design and arts, systems thinking and other disciplines and skills with traditional logic models gives the evaluator the capacity to embed an unlimited type and quantity of content into web-based models of program theory and thus expand the accessibility and use of an evaluation (and program) and the evaluation process to a greater diversity of stakeholders over a longer period of time.

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