Panduan untuk menerapkan analisa multikriteria dalam menilai kriteria dan indikator

Multi-Criteria Analysis (MCA) is a decision-making tool developed for complex problems. In a situation where multiple criteria are involved confusion can arise if a logical, well-structured decision-making process is not followed. Another difficulty in decision-making is that reaching a general consensus in a multidisciplinary team can be very difficult to achieve. By using MCA members do not have to agree on the relative importance of the criteria or the rankings of the alternatives. Each member enters his or her own judgements, and makes a distinct, identifiable contribution to a jointly reached conclusion. This manual is written for an audience that needs a clear, easy to follow manual that can be used in the field to implement MCA. The information is structured so that the reader is first introduced to the general concepts involved before delving into the more specific applications of MCA. The manual reviews the conceptual framework of C&I and introduces the theoretical basis of MCA, and methods such as ranking, rating and pair wise comparisons in the Analytic Hierarchy Process. It provides an example of how MCA can be applied to C&I in a Forest Certification context both from a 'top-down' perspective as well as in a more 'bottom-up' context

Application de l’analyse multicritère à l’évaluation des critères et indicateurs

Multi-Criteria Analysis (MCA) is a decision-making tool developed for complex problems. In a situation where multiple criteria are involved confusion can arise if a logical, well-structured decision-making process is not followed. Another difficulty in decision making is that reaching a general consensus in a multidisciplinary team can be very difficult to achieve. By using MCA the members don't have to agree on the relative importance of the Criteria or the rankings of the alternatives. Each member enters his or her own judgements, and makes a distinct, identifiable contribution to a jointly reached conclusion. This manual is written for an audience that need a clear, easy to follow manual that can be used in the field to implement MCA. The information is structured so that the reader is first introduced to the general concepts involved before delving into the more specific applications of Multi Criteria Analysis. The manual reviews the conceptual framework of C&I and introduces the theoretical basis of MCA, and methods such as ranking, rating and pairwise comparisons in the Analytic Hierarchy Process (AHP). It provides an example of how MCA can be applied to C&I in a Forest Certification context both from a 'top-down' perspective as well as in a more 'bottom-up' context

Guidelines for applying multi-criteria analysis to the assessment of criteria and indicators

Multi-Criteria Analysis (MCA) is a decision-making tool developed for complex problems. In a situation where multiple criteria are involved confusion can arise if a logical, well-structured decision-making process is not followed. Another difficulty in decision making is that reaching a general consensus in a multidisciplinary team can be very difficult to achieve. By using MCA the members don't have to agree on the relative importance of the Criteria or the rankings of the alternatives. Each member enters his or her own judgements, and makes a distinct, identifiable contribution to a jointly reached conclusion. This manual is written for an audience that needs a clear, easy to follow manual that can be used in the field to implement MCA. The information is structured so that the reader is first introduced to the general concepts involved before dwelving into the more specific applications of Multi Criteria Analysis. The manual reviews the conceptual framework of C&I and introduces the theoretical basis of MCA, and methods such as ranking, rating and pairwise comparisons in the Analytic Hierarchy Process (AHP). It provides an example of how MCA can be applied to C&I in a Forest Certification context both from a 'top-down' perspective as well as in a more 'bottom-up' context

CIMAT: a knowledge-based system for developing criteria & indicators for sustainable forest management

The Center for International Forestry Research (CIFOR) has carried out research to develop Criteria and Indicators for sustainable forest management (C&I) in eight countries since 1994. In the CIFOR framework C&I are organised hierarchically as principles, criteria, indicators, and verifiers. Based on an analysis and synthesis of the C&I research a set of C&I has been identified that can form the starting point for developing localised sets of criteria and indicators. This set is called the "Generic Template". A Knowledge based system called CIMAT (Criteria and Indicators Modification and Adapation Tool) has now been developed to support the process of developing locally adapted C&I using the Generic Template are represented as items that can be modified by the user. The modification can only take place when users explain their reason for the change. All the reasons in the system can be made dependent upon one to another, they can be revised during modification, and they can be counter-argued by other users. The need to represent and maintain these reasons and their interdependencies is resolved through the use of a reason maintenance system (RMS). Another meta-level component of CIMAT is its ability to compare and analyze multiple knowledge bases

CIMAT versi 2: perangkat modifikasi dan adaptasi kriteria dan indikator pengelolaan hutan lestari

CIMAT is a computer software package designed to help users modify, customise and adapt the CIFOR C&I generic template to meet local conditions and expectations. CIMAT will guide its users through all the basic steps in creating a new C&I set, navigating the current C&I knowledge base, and in its present version introduce the topic of an on-site assessment. In later versions CIMAT will provide more substantial support for assessment and monitoring of C&I. CIMAT can also be treated as a 'learning tool' for those who are merely interested in exploring the C&I knowledge stored in it

CIMAT (criteria and indicators modification and adaptation tool) version 2: criteria and indicators for sustainable forest management

The Center for International Forestry Research (CIFOR) has carried out research to develop Criteria and Indicators for sustainable forest management (C&I) in eight countries since 1994. In the CIFOR framework C&I are organised hierarchically as principles, criteria, indicators, and verifiers. Based on an analysis and synthesis of the C&I research a set of C&I has been identified that can form the starting point for developing localised sets of criteria and indicators. This set is called the "Generic Template". A Knowledge based system called CIMAT (Criteria and Indicators Modification and Adapation Tool) has now been developed to support the process of developing locally adapted C&I using the Generic Template are represented as items that can be modified by the user. The modification can only take place when users explain their reason for the change. All the reasons in the system can be made dependent upon one to another, they can be revised during modification, and they can be counter-argued by other users. The need to represent and maintain these reasons and their interdependencies is resolved through the use of a reason maintenance system (RMS). Another meta-level component of CIMAT is its ability to compare and analyze multiple knowledge bases