{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:08:39Z","timestamp":1787011719388,"version":"3.56.0"},"reference-count":46,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T00:00:00Z","timestamp":1565913600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2019,8,16]]},"abstract":"<jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n                    <jats:p>The purpose of this paper is to investigate a fuzzy hybrid approach for ranking the flare gas recovery methods and allocating to refineries.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n                    <jats:p>The proposed approach is containing four stages: in the first stage, experts' assessment is applied to identify relevant criteria and sub-criteria in the evaluation of flare gas recovery methods. In the second stage, the corresponding weights of criteria and sub-criteria are determined via fuzzy decision-making trial and evaluation (DEMATEL)-analytical network process (ANP) (DANP) method. In the third stage, the flare gas recovery methods are ranked using fuzzy weighted aggregated sum product assessment method (WASPAS) multi-criteria decision-making (MADM) technique. In the fourth stage, an optimization model is developed to allocate gas recovery methods to refineries while maximizing the total utility of allocations based on model constraints.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n                    <jats:p>According to the results of fuzzy DANP method, technical and operational criterion was the most important followed by economic, political, managerial and environmental criteria. With respect to sub-criteria, international sanctions and political stability were the most important. The results of fuzzy WASPAS method indicated that gas injection was the first ranked alternative. Finally, the mathematical modeling allocated the recovery methods to five refineries of South Pars gas field in Iran based on budget and time constraints.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n                    <jats:p>The proposed approach provides a systematic tool in the selection of flare recovery methods and allocation to refineries. This approach uses a new combination of fuzzy DEMATEL-ANP (DANP) method, fuzzy WASPAS method and mathematical programming. The approach is effectively implemented in a case study for ranking the flare gas recovery methods and allocating to refineries of South Pars gas field in Iran.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/k-10-2018-0534","type":"journal-article","created":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T04:37:27Z","timestamp":1567053447000},"page":"1103-1126","source":"Crossref","is-referenced-by-count":8,"title":["A fuzzy hybrid approach for ranking and allocation of flare gas recovery methods"],"prefix":"10.1108","volume":"49","author":[{"given":"Negar","family":"Shaaban","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Majid","family":"Nojavan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Davood","family":"Mohammaditabar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"issue":"4","key":"key2020040812203693700_ref001","first-page":"5","article-title":"A multi-level decision making model for the supplier selection problem in a fuzzy situation","volume":"27","year":"2017","journal-title":"Operations Research and Decisions"},{"key":"key2020040812203693700_ref002","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.petrol.2014.01.010","article-title":"A hybrid approach based on locally linear neuro-fuzzy modeling and TOPSIS to determine the quality grade of gas well-drilling projects","volume":"114","year":"2014","journal-title":"Journal of Petroleum Science and Engineering"},{"key":"key2020040812203693700_ref003","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.spc.2018.11.010","article-title":"An uncertain model for integrated production-transportation closed-loop supply chain network with cost reliability","volume":"17","year":"2019","journal-title":"Sustainable Production and Consumption"},{"key":"key2020040812203693700_ref004","first-page":"333","article-title":"Technology selection for iran\u2019s gas flare recovery system","volume":"48","year":"2016","journal-title":"Bulgarian Chemical Communications"},{"issue":"4","key":"key2020040812203693700_ref005","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1080\/00908310390424160","article-title":"No-flare design: converting waste to value addition","volume":"27","year":"2005","journal-title":"Energy Sources"},{"issue":"3","key":"key2020040812203693700_ref006","doi-asserted-by":"crossref","first-page":"3000","DOI":"10.1016\/j.eswa.2011.08.162","article-title":"A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers","volume":"39","year":"2012","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"key2020040812203693700_ref007","doi-asserted-by":"crossref","first-page":"1","DOI":"10.15388\/Informatica.2014.01","article-title":"Applications of WASPAS method in manufacturing decision making","volume":"25","year":"2014","journal-title":"Informatica"},{"issue":"1","key":"key2020040812203693700_ref008","first-page":"1","article-title":"Applications of WASPAS method as a multi-criteria decision making tool","volume":"49","year":"2015","journal-title":"Economic Computation and Economic Cybernetics Studies and Research"},{"issue":"3","key":"key2020040812203693700_ref009","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1080\/19397038.2015.1050972","article-title":"Alternatives to gas flaring: a multi-criteria decision approach applied to a case study in Russia","volume":"9","year":"2016","journal-title":"International Journal of Sustainable Engineering"},{"key":"key2020040812203693700_ref010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.energy.2016.04.080","article-title":"Energy efficiency improvement in oil refineries through flare gas recovery technique to meet the emission trading targets","volume":"109","year":"2016","journal-title":"Energy"},{"issue":"1","key":"key2020040812203693700_ref011","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1057\/jors.1994.6","article-title":"A Multi-Criteria decision model application for managing group decisions","volume":"45","year":"1994","journal-title":"The Journal of the Operational Research Society"},{"key":"key2020040812203693700_ref012","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.jngse.2013.03.002","article-title":"The major sources of gas flaring and air contamination in the natural gas processing plants: a case study","volume":"13","year":"2013","journal-title":"Journal of Natural Gas Science and Engineering"},{"key":"key2020040812203693700_ref013","first-page":"307","volume-title":"Multi Criteria Decision Analysis Framework for Risk Management of Oil and Gas Pipelines. 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