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خانه مقالات-Article مقالات مکانیک-Mechanical Articles سیستم فازی-Fuzzy Systems Mental Modeler A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management
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Mental Modeler A Fuzzy-Logic Cognitive Mapping Modeling Tool for Adaptive Environmental Management

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Participatory modeling has grown in popularity in recent years with the acknowledgement that stakeholder knowledge is an essential  component  to informed environmental decision-making. Including stakeholders in model building and analysis allows decision-makers to  understand important conceptual components in the environmental systems being managed, builds trust and common understanding between  potentially diverse sets of competing groups, and reduces uncertainty by mining information that might not otherwise be a part of  scientific assessment performed by experts alone. Software that facilitates the integration and analysis of stakeholder knowledge in modeling,  however, is currently lacking. In this paper we report on the design and anticipated use of a participatory modeling tool based in fuzzy-logic  cognitive mapping (FCM) called ‘Mental Modeler’ which makes the mental models of stakeholders explicit and provides an opportunity to incorporate different types of knowledge into environmental decision-making, define hypotheses to be tested, and run scenarios to determine  perceived outcomes of proposed policies

توضیحات محصول

ABSTRACT

Participatory modeling has grown in popularity in recent years with the acknowledgement that stakeholder knowledge is an essential  component  to informed environmental decision-making. Including stakeholders in model building and analysis allows decision-makers to  understand important conceptual components in the environmental systems being managed, builds trust and common understanding between  potentially diverse sets of competing groups, and reduces uncertainty by mining information that might not otherwise be a part of  scientific assessment performed by experts alone. Software that facilitates the integration and analysis of stakeholder knowledge in modeling,  however, is currently lacking. In this paper we report on the design and anticipated use of a participatory modeling tool based in fuzzy-logic  cognitive mapping (FCM) called ‘Mental Modeler’ which makes the mental models of stakeholders explicit and provides an opportunity to incorporate different types of knowledge into environmental decision-making, define hypotheses to be tested, and run scenarios to determine  perceived outcomes of proposed policies.

INTRODUCTION

The importance of including stakeholders in environmental decision-making through modeling has seen growing attention in recent years.    Voinov and Bousquet [1] outline two major objectives that drive participatory modeling: (1) to increase and share knowledge and    understanding of a system and its dynamics under various conditions [2, 3, 4] and (2) to identify and clarify the impacts of solutions to a given   problem [5, 6, 7]. Currently a wide range of stakeholder-centered modeling programs, practices, and guidelines exist, which all essentially aim to  provide decision support and facilitation in participatory planning contexts. Although the tools and software available to environmental  managers  have experienced a large recent increase, some critics have cautioned that diversity of modeling practices does not necessarily  indicate diversity  in function, as new stakeholder modeling programs are often prone to duplication of efforts [8]. Recent reviews of modeling  processes and tools have highlighted that community learning- by way of structured knowledge sharing- is the most significant benefit of  including stakeholders in  modeling. Recommendations for future development focus on designing tools and processes that capitalize on  learning  as an outcome of participatory modeling, specifically toward the goals of adaptive resource management through iterative model  development [1].

Year: 2013

Publisher : IEEE

By : Steven A. Gray Stefan Gray Linda J. Cox Sarah Henly-Shepard

File Information: English Language/ 9 Page / size: 317 KB

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سال : 2013

ناشر : IEEE

کاری از : Steven A. Gray Stefan Gray Linda J. Cox Sarah Henly-Shepard

اطلاعات فایل : زبان انگلیسی / 9 صفحه / حجم : KB 317

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