[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-618090-105":3,"detail-sidebar-cat-0-en-105":79,"doc-detail-618090-en":129},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":72,"head_meta":74,"extra_data":76,"updated_unix":78},105,"en","comparing-mamdani-and-sugeno-hierarchical-fuzzy-systems-for-environmental-impact-assessment-a-pipeline-project-case-study","COMPARING MAMDANI AND SUGENO HIERARCHICAL FUZZY SYSTEMS FOR ENVIRONMENTAL IMPACT ASSESSMENT - A PIPELINE PROJECT CASE STUDY","","Several studies compare Mamdani and Sugeno fuzzy inference systems, but this research focuses on hierarchical fuzzy systems within environmental impact assessment (EIA) as a multi-criteria decision analysis method. A non-commercial, research-oriented EIA pipeline project in southern Iran is used, with Mamdani and Sugeno hierarchical fuzzy systems built from data and expertise from a prior formal EIA of the same project. The binary structures reduce complexity and support sensitivity analysis across the full input range. While outputs are not significantly different, Sugeno shows more linear behavior and higher sensitivity to input changes, indicating Mamdani may require smoothing due to output-surface fluctuations.",{"@graph":14,"@context":71},[15,34,54],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/comparing-mamdani-and-sugeno-hierarchical-fuzzy-systems-for-environmental-impact-assessment-a-pipeline-project-case-study/618090/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":48,"encodingFormat":47,"isAccessibleForFree":49,"interactionStatistic":50},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/comparing-mamdani-and-sugeno-hierarchical-fuzzy-systems-for-environmental-impact-assessment-a-pipeline-project-case-study/618090.png","ImageObject",300,407,{"name":42,"@type":43},"Margaret","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-19",true,{"@type":51,"interactionType":52,"userInteractionCount":4},"InteractionCounter",{"@type":53},"ViewAction",{"@type":55,"mainEntity":56},"FAQPage",[57,63,67],{"name":58,"@type":59,"acceptedAnswer":60},"What is the main comparison in this study?","Question",{"text":61,"@type":62},"The study compares Mamdani and Sugeno hierarchical fuzzy systems for environmental impact assessment, focusing on their technical performance.","Answer",{"name":64,"@type":59,"acceptedAnswer":65},"Why are hierarchical fuzzy systems used?",{"text":66,"@type":62},"Binary hierarchical fuzzy systems are developed to reduce complexity and to enable sensitivity analysis using the full range of possible input values.",{"name":68,"@type":59,"acceptedAnswer":69},"What key difference did the study find between Mamdani and Sugeno outputs?",{"text":70,"@type":62},"The Sugeno hierarchical fuzzy system shows more linear behavior and higher sensitivity to input value changes, while the Mamdani system can be unreliable due to fluctuations and may need smoothing before application.","https://schema.org",{"og:url":32,"og:type":73,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":75,"canonical":32},"index,follow",{"doc_id":77,"site_id":7},618090,1792446250,{"code":4,"msg":80,"data":81},"success",[82,86,90,94,99,104,109,113,118,121,125],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":83,"show_sort_weight":84,"slug":85},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":87,"show_sort_weight":88,"slug":89},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":91,"show_sort_weight":92,"slug":93},"Exam",70,"exam",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},5,"Comic",60,"comic",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":101,"show_sort_weight":102,"slug":103},6,"Technology",50,"technology",{"id":105,"doc_module":4,"doc_module_name":25,"category_name":106,"show_sort_weight":107,"slug":108},7,"Healthcare",40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":111,"slug":112},8,30,"research-report",{"id":114,"doc_module":4,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},9,"Religion & Spirituality",20,"religion-spirituality",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":119,"show_sort_weight":116,"slug":120},"World Cup","world-cup",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":122,"slug":124},10,"Lifestyle","lifestyle",{"id":126,"doc_module":4,"doc_module_name":25,"category_name":127,"show_sort_weight":95,"slug":128},19,"General","general",{"code":4,"msg":80,"data":130},{"doc_id":77,"user_id":131,"nickname":42,"user_avatar":132,"doc_module":4,"category_id":110,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":4,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":122,"language":138,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":139,"faqs":140,"seo_title":141,"seo_description":12,"update_tm":78,"read_time":142},137451207643,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Environmental Engineering and Management Journal July 2018, Vol. 17, No. 7, 1545-1554  \n[http://www.eemj.icpm.tuiasi.ro/](http://www.eemj.icpm.tuiasi.ro/); [http://www.eemj.eu](http://www.eemj.eu)  \n“Gheorghe Asachi” Technical University ofIasi, Romania  \nCOMPARING MAMDANI AND SUGENO HIERARCHICAL FUZZY SYSTEMS FOR ENVIRONMENTAL IMPACT ASSESSMENT:  \nA PIPELINE PROJECT CASE STUDY  \nSharosin Givargis1 ∗, Azadeh Dabiri1, Negin Hakiminejad1, Mahmood Mahmoodi2, Farzam Babaei Semiromi3  \n1Pouyandegan Mohit Zist (PMZ) Consulting Engineering Company Pvt. Ltd. No.1103, Valliasr Ave, Tehran, 113633865, Iran  \n2Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Iran  \n3Department of Environmental Management and Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran  \nAbstract  \nSeveral studies have been conducted in various fields comparing Mamdani and Sugeno fuzzy inference systems (FISs) . This study contributes to the literature by comparing the performance of Mamdani and Sugeno hierarchical fuzzy systems (HFSs) in terms of their technical performance within the context of environmental impact assessment (EIA), a multi-criteria decision analysis (MCDA) method, with the aim of illuminating practical issues that need to be taken into account during application. The context is a non-commercial, research-oriented EIA of a pipeline project in southern Iran. Mamdani and Sugeno HFSs were developed with data collected for and expertise gained via a previous formal EIA of the same project. The two developed HFSs were of binary structure, reducing complexity while also facilitating sensitivity analysis. A sensitivity analysis was carried out with the full range of possible HFS input values. Excluding the final FISs, the FIS outputs did not differ significantly between the two examined HFSs. However, the behavior of the Sugeno HFS was found to be more linear than that ofits Mamdani counterpart with a higher degree of sensitivity to input value changes. This study indicates that the Mamdami HFS is unreliable in some areas due to fluctuations in the output surface, which necessitates smoothing before it can be applied.  \nKey words: environmental impact assessment, hierarchical fuzzy system, Mamdani inference system, Sugeno inference system  \nReceived: February, 2014; Revised final: July, 2014; Accepted: September, 2014; Published in final edited form: July 2018  \n1. Introduction  \nEnvironmental impact assessment (EIA) is a process of systematic identification and evaluation of the potential impacts of projects, programs, or legislative actions on the physical, chemical, biological, cultural, and socioeconomic constituents of the “total environment”(Canter, 1996) . It is a multicriteria decision analysis method enables various alternatives to be evaluated in relation to multifarious criteria, such that each alternative is considered in relation to criteria weighted on the basis of decision makers’ or stakeholders’ judgments. Ultimately, EIA  \nyields total scores for each alternative that reflect decision makers’ preferences alongside the alternatives’ performance in relation to the criteria (FEI, 2013; Torretta and Capodaglio, 2017) . According to Rodriguez-Bachiller and Glasson,(2004), EIA implementation has been improving, anda standardized practice is close to being defined. Nevertheless, most EIAs are far from satisfactory and new paradigms for EIA are being proposed in the literature. Rodriguez-Bachiller and Glasson (2004) propose that expert systems be integrated with geographical information systems (GISs), whereas Shepard (2005) advocates the use of approximate  \n∗ Author to whom all correspondence should be addressed: e-mail: [nirari6754@yahoo.com](nirari6754@yahoo.com); Phone: +98-21-66466682, +98-21-66466733; Fax:+98-21-66480419  \nreasoning and fuzzy modeling. Subjective judgment isan inextricable component of EIA because it entails social and cultural value ju","cbCair4tytJmaQLy","https://ap.wps.com/l/cbCair4tytJmaQLy","pdf",502943,"English","# Introduction\n## Background: EIA as Multi-Criteria Decision Analysis\n## Role of Fuzzy Logic and Fuzzy Expert Systems","[{\"question\":\"What is the main comparison in this study?\",\"answer\":\"The study compares Mamdani and Sugeno hierarchical fuzzy systems for environmental impact assessment, focusing on their technical performance.\"},{\"question\":\"Why are hierarchical fuzzy systems used?\",\"answer\":\"Binary hierarchical fuzzy systems are developed to reduce complexity and to enable sensitivity analysis using the full range of possible input values.\"},{\"question\":\"What key difference did the study find between Mamdani and Sugeno outputs?\",\"answer\":\"The Sugeno hierarchical fuzzy system shows more linear behavior and higher sensitivity to input value changes, while the Mamdani system can be unreliable due to fluctuations and may need smoothing before application.\"}]","COMPARING MAMDANI AND SUGENO HIERARCHICAL FUZZY SYSTEMS FOR ENVIRONMENTAL IMPACT ASSESSMENT - A PIPELINE PROJECT CASE STUDY | PDF",25]