{"id":{"repo_id":"aachen","oai_identifier":"oai:publications.rwth-aachen.de:58759"},"canonical_url":"https://search.dev.ndltd.org/etd/aachen/oai:publications.rwth-aachen.de:58759","repository":{"repo_id":"aachen","name":"RWTH Aachen University","base_url":"https://publications.rwth-aachen.de/oai2d"},"display":{"title":"A fuzzy multi-attribute decision making approach for the identification of the key sectors of an economy : the case of Indonesia","abstract":"The decision about what sector is to be promoted for the future economic development is one of the most important tasks during the process of planning for the economic development of a nation. It becomes highly crucial, not only for guiding the investment decision or allocation of the available resources but it is also very decisive for the realization of the intended goals and the path of the future development to be pursued. Concerning this issue, the concept of intersectoral linkages provides an important contribution to the empirical method for sectoral ranking and leads to the determination of key sectors of the economy: those that should be promoted and given high priority in the development process. Conventionally, the identification of a key sector of an economy is always associated with the measurement of the intersectoral linkages, based on an input-output technique. Accordingly, a key sector is defined as a sector that provides an above-average contribution in inducing the whole economy to grow, and thus plays an important role in the economy development. Unfortunately, the existing methods for key sector identification have also some conceptual limitations that may produce misleading pictures about the real situation of the economy. Most of these methods focus merely on intersectoral linkages and take no consideration of other relevant criteria associated with sectoral performances. The main objective of this work is to provide methodological improvements over previous works in examining the key sectors of an economy, by proposing an alternative approach involving the application of fuzzy set theory in the field of multi-criteria decision making. The modeling of the identification of the key sectors as a fuzzy multi-attribute decision making problem enables the consideration of other relevant criteria associated with development goals simultaneously during the process of identification, and thus provides a better contribution to the process of planning for economic development. In addition, the application of fuzzy set theory makes possible the assessment of qualitative and imprecise information, which is very often found but is difficult to solve in real life decision making problems. When applying data to Indonesia, the new approach has successfully identified key sectors the Indonesian economy which vary over time under study. The findings of the study also bring implications for current and future development policies in Indonesia.","abstract_html":"The decision about what sector is to be promoted for the future economic development is one of the most important tasks during the process of planning for the economic development of a nation. It becomes highly crucial, not only for guiding the investment decision or allocation of the available resources but it is also very decisive for the realization of the intended goals and the path of the future development to be pursued. Concerning this issue, the concept of intersectoral linkages provides an important contribution to the empirical method for sectoral ranking and leads to the determination of key sectors of the economy: those that should be promoted and given high priority in the development process. Conventionally, the identification of a key sector of an economy is always associated with the measurement of the intersectoral linkages, based on an input-output technique. Accordingly, a key sector is defined as a sector that provides an above-average contribution in inducing the whole economy to grow, and thus plays an important role in the economy development. Unfortunately, the existing methods for key sector identification have also some conceptual limitations that may produce misleading pictures about the real situation of the economy. Most of these methods focus merely on intersectoral linkages and take no consideration of other relevant criteria associated with sectoral performances. The main objective of this work is to provide methodological improvements over previous works in examining the key sectors of an economy, by proposing an alternative approach involving the application of fuzzy set theory in the field of multi-criteria decision making. The modeling of the identification of the key sectors as a fuzzy multi-attribute decision making problem enables the consideration of other relevant criteria associated with development goals simultaneously during the process of identification, and thus provides a better contribution to the process of planning for economic development. In addition, the application of fuzzy set theory makes possible the assessment of qualitative and imprecise information, which is very often found but is difficult to solve in real life decision making problems. When applying data to Indonesia, the new approach has successfully identified key sectors the Indonesian economy which vary over time under study. The findings of the study also bring implications for current and future development policies in Indonesia.","abstract_has_math":false,"creators":["Sudaryanto"],"institution":"Publikationsserver der RWTH Aachen University","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Sebastian, Hans-Jürgen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003","date_published":"2003","updated_at":"2026-07-30T19:42:31Z","subjects":["info:eu-repo/classification/ddc/330","Indonesien","Schlüsselindustrie","Regionalanalyse","Multiattributive Entscheidung","Fuzzy-Logik","Wirtschaft","Fuzzy-MADM","Key sector","Indonesia"],"languages":["eng"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120596%22"],"render_values":[{"text":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120596%22","href":"https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120596%22","code":true}]}]},"links":{"outbound_url":"https://publications.rwth-aachen.de/record/58759","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Sebastian, Hans-Jürgen"]},{"key":"dc:creator","label":"Author","values":["Sudaryanto"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:coverage","label":"Dc Coverage","values":["DE"]},{"key":"dc:date","label":"Dc Date","values":["2003"]},{"key":"dc:publisher","label":"Institution","values":["Publikationsserver der RWTH Aachen University"]},{"key":"dc:relation","label":"Dc Relation","values":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-5917"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["info:eu-repo/classification/ddc/330","Indonesien","Schlüsselindustrie","Regionalanalyse","Multiattributive Entscheidung","Fuzzy-Logik","Wirtschaft","Fuzzy-MADM","Key sector","Indonesia"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://publications.rwth-aachen.de/record/58759","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120596%22"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The decision about what sector is to be promoted for the future economic development is one of the most important tasks during the process of planning for the economic development of a nation. It becomes highly crucial, not only for guiding the investment decision or allocation of the available resources but it is also very decisive for the realization of the intended goals and the path of the future development to be pursued. Concerning this issue, the concept of intersectoral linkages provides an important contribution to the empirical method for sectoral ranking and leads to the determination of key sectors of the economy: those that should be promoted and given high priority in the development process. Conventionally, the identification of a key sector of an economy is always associated with the measurement of the intersectoral linkages, based on an input-output technique. Accordingly, a key sector is defined as a sector that provides an above-average contribution in inducing the whole economy to grow, and thus plays an important role in the economy development. Unfortunately, the existing methods for key sector identification have also some conceptual limitations that may produce misleading pictures about the real situation of the economy. Most of these methods focus merely on intersectoral linkages and take no consideration of other relevant criteria associated with sectoral performances. The main objective of this work is to provide methodological improvements over previous works in examining the key sectors of an economy, by proposing an alternative approach involving the application of fuzzy set theory in the field of multi-criteria decision making. The modeling of the identification of the key sectors as a fuzzy multi-attribute decision making problem enables the consideration of other relevant criteria associated with development goals simultaneously during the process of identification, and thus provides a better contribution to the process of planning for economic development. In addition, the application of fuzzy set theory makes possible the assessment of qualitative and imprecise information, which is very often found but is difficult to solve in real life decision making problems. When applying data to Indonesia, the new approach has successfully identified key sectors the Indonesian economy which vary over time under study. The findings of the study also bring implications for current and future development policies in Indonesia."]},{"key":"dc:source","label":"Dc Source","values":["Aachen : Publikationsserver der RWTH Aachen University XV, 355 S. (2003). = Aachen, Techn. Hochsch., Diss., 2003"]},{"key":"dc:title","label":"Title","values":["A fuzzy multi-attribute decision making approach for the identification of the key sectors of an economy : the case of Indonesia"]}]}],"canonical_facts":{"dc:contributor":["Sebastian, Hans-Jürgen"],"dc:coverage":["DE"],"dc:creator":["Sudaryanto"],"dc:date":["2003"],"dc:description":["The decision about what sector is to be promoted for the future economic development is one of the most important tasks during the process of planning for the economic development of a nation. It becomes highly crucial, not only for guiding the investment decision or allocation of the available resources but it is also very decisive for the realization of the intended goals and the path of the future development to be pursued. Concerning this issue, the concept of intersectoral linkages provides an important contribution to the empirical method for sectoral ranking and leads to the determination of key sectors of the economy: those that should be promoted and given high priority in the development process. Conventionally, the identification of a key sector of an economy is always associated with the measurement of the intersectoral linkages, based on an input-output technique. Accordingly, a key sector is defined as a sector that provides an above-average contribution in inducing the whole economy to grow, and thus plays an important role in the economy development. Unfortunately, the existing methods for key sector identification have also some conceptual limitations that may produce misleading pictures about the real situation of the economy. Most of these methods focus merely on intersectoral linkages and take no consideration of other relevant criteria associated with sectoral performances. The main objective of this work is to provide methodological improvements over previous works in examining the key sectors of an economy, by proposing an alternative approach involving the application of fuzzy set theory in the field of multi-criteria decision making. The modeling of the identification of the key sectors as a fuzzy multi-attribute decision making problem enables the consideration of other relevant criteria associated with development goals simultaneously during the process of identification, and thus provides a better contribution to the process of planning for economic development. In addition, the application of fuzzy set theory makes possible the assessment of qualitative and imprecise information, which is very often found but is difficult to solve in real life decision making problems. When applying data to Indonesia, the new approach has successfully identified key sectors the Indonesian economy which vary over time under study. The findings of the study also bring implications for current and future development policies in Indonesia."],"dc:identifier":["https://publications.rwth-aachen.de/record/58759","https://publications.rwth-aachen.de/search?p=id:%22RWTH-CONV-120596%22"],"dc:language":["eng"],"dc:publisher":["Publikationsserver der RWTH Aachen University"],"dc:relation":["info:eu-repo/semantics/altIdentifier/urn/urn:nbn:de:hbz:82-opus-5917"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:source":["Aachen : Publikationsserver der RWTH Aachen University XV, 355 S. (2003). = Aachen, Techn. Hochsch., Diss., 2003"],"dc:subject":["info:eu-repo/classification/ddc/330","Indonesien","Schlüsselindustrie","Regionalanalyse","Multiattributive Entscheidung","Fuzzy-Logik","Wirtschaft","Fuzzy-MADM","Key sector","Indonesia"],"dc:title":["A fuzzy multi-attribute decision making approach for the identification of the key sectors of an economy : the case of Indonesia"],"dc:type":["info:eu-repo/semantics/doctoralThesis","info:eu-repo/semantics/publishedVersion"]},"updated_at":"2026-07-30T19:42:31Z"}