{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:51:03Z","timestamp":1750308663745,"version":"3.41.0"},"reference-count":40,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2012,4,3]],"date-time":"2012-04-03T00:00:00Z","timestamp":1333411200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSOFT Softw. Eng. Notes"],"published-print":{"date-parts":[[2012,4,3]]},"abstract":"<jats:p>Inter-agent communication is one of the main concerns of Agent Oriented Requirements Engineering (AORE). The concern is delineated as managing inter-dependencies and interaction among various agents performing collaborative activities. To carry out cooperative activities, the application areas viz. electronic commerce and enterprise resource planning in the distributed environment require an agent to predict and customize dependency needs termed as Degree of Dependency (DoD) so that the goal may be obtained within resource constraints and with optimal number of agents. To quantify and predict exertion load of an agent within resource constraints, this paper proposes an Analytical Inference Model (AIM) that would facilitate the developer to evaluate and envisage DoD and hence analyze the optimum number of agents to obtain predicted DoD. In this work, Adaptive Neuro Fuzzy Inference System (ANFIS) combining the potential benefits of Artificial Neural Network (ANN) and Fuzzy Logic (FL) is employed to discover the linear relationship in input domain attributes and DoD. The resultant optimization of exertion loads would immensely improve the quality of the Multi-Agent System. The hybrid, as well as back propagation learning algorithm, is employed to adapt from training data. The bestfitness of proposed model against test data is examined by the performance indicators-Coefficient of Correlation (CORR) and the Normalized Root Mean Square Error (NRMSE). It is observed that hybrid learning algorithm outperforms the back propagation algorithm.<\/jats:p>","DOI":"10.1145\/2108144.2108152","type":"journal-article","created":{"date-parts":[[2012,4,10]],"date-time":"2012-04-10T12:19:26Z","timestamp":1334060366000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Analytical inference model for prediction and customization of inter-agent dependency requirements"],"prefix":"10.1145","volume":"37","author":[{"given":"Vibha","family":"Gaur","sequence":"first","affiliation":[{"name":"University of Delhi, Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anuja","family":"Soni","sequence":"additional","affiliation":[{"name":"University of Delhi, Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,4,3]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/11568346_17"},{"key":"e_1_2_1_2_1","first-page":"320","volume-title":"IACSIT International Journal of Engineering and Technology","author":"Gaur Vibha","year":"2010","unstructured":"Vibha Gaur , Anuja Soni , An Integrated Approach to Prioritize Requirements Using Fuzzy Decision Making , IACSIT International Journal of Engineering and Technology , Vol. 2 , No.4, August 2010 ISSN : 1793-8236, pp. 320 -- 328 Vibha Gaur, Anuja Soni, An Integrated Approach to Prioritize Requirements Using Fuzzy Decision Making, IACSIT International Journal of Engineering and Technology, Vol.2, No.4, August 2010 ISSN: 1793-8236, pp. 320--328"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:AGNT.0000018806.20944.ef"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/IADCC.2010.5422878"},{"key":"e_1_2_1_5_1","first-page":"1297","volume-title":"3rd Indian International Conference on Artificial Intelligence","author":"Bedi Punam","year":"2007","unstructured":"Punam Bedi , Vibha Gaur , Optimal Partner Selection Model for Cooperation , 3rd Indian International Conference on Artificial Intelligence , pp. 1297 -- 1307 , 2007 Punam Bedi, Vibha Gaur, Optimal Partner Selection Model for Cooperation, 3rd Indian International Conference on Artificial Intelligence, pp. 1297--1307, 2007"},{"key":"e_1_2_1_6_1","first-page":"101","volume":"204","author":"Gaur Vibha","year":"2011","unstructured":"Vibha Gaur , Anuja Soni , Evaluating Degree of Dependency from Domain Knowledge using Fuzzy Inference System , Springer in CCIS Series , 204 , pp. 101 -- 111 , 2011 CCSEIT-2011 Vibha Gaur, Anuja Soni, Evaluating Degree of Dependency from Domain Knowledge using Fuzzy Inference System, Springer in CCIS Series, 204, pp. 101--111, 2011 CCSEIT-2011","journal-title":"Springer in CCIS Series"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0306-4379(02)00012-1"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSSE.2008.1555"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00766-003-0170-4"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10458-010-9135-4"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30578-1_12"},{"key":"e_1_2_1_12_1","volume-title":"Journal of Hydrology","author":"Lohani A.K.","year":"2006","unstructured":"A.K. Lohani , N.K. Goel , Takagi-Sugeno fuzzy inference system for modelling stage-discharge relationship , Journal of Hydrology , 2006 , Elsevier 331, 146--160 A.K. Lohani, N.K. Goel, Takagi-Sugeno fuzzy inference system for modelling stage-discharge relationship, Journal of Hydrology, 2006, Elsevier 331, 146--160"},{"key":"e_1_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/11539902_145"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2006.02.009"},{"key":"e_1_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eneco.2009.01.012"},{"key":"e_1_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.12.083"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.04.045"},{"key":"e_1_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2010.06.028"},{"issue":"5","key":"e_1_2_1_19_1","article-title":"Ebbie Selva Kumar, Interference cancellation in EMG signal Using ANFIS","volume":"2","author":"Vijila C. Kezi Selva","year":"2009","unstructured":"C. Kezi Selva Vijila , C . Ebbie Selva Kumar, Interference cancellation in EMG signal Using ANFIS , International Journal of Recent Trends in Engineering , Vol 2 , No. 5 , November 2009 , ACEEE C. Kezi Selva Vijila, C. Ebbie Selva Kumar, Interference cancellation in EMG signal Using ANFIS, International Journal of Recent Trends in Engineering, Vol 2, No. 5, November 2009, ACEEE","journal-title":"International Journal of Recent Trends in Engineering"},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2007.07.011"},{"key":"e_1_2_1_21_1","volume-title":"International Journal of Circuits, Systems and Signal Processing, Issue 4","author":"Elwakdy A. M.","year":"2008","unstructured":"A. M. Elwakdy , B. E. Elsehely Speech recognition using a wavelet transform to establish fuzzy inference system through subtractive clustering and neural network (ANFIS) , International Journal of Circuits, Systems and Signal Processing, Issue 4 , Volume 2 , 2008 A. M. Elwakdy, B. E. Elsehely Speech recognition using a wavelet transform to establish fuzzy inference system through subtractive clustering and neural network (ANFIS), International Journal of Circuits, Systems and Signal Processing, Issue 4, Volume 2, 2008"},{"key":"e_1_2_1_22_1","doi-asserted-by":"crossref","unstructured":"C. D. Doan S. Y. Liong and Dulakshi S. K. Karunasinghe Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm Journal of Hydroinformatics 2005  C. D. Doan S. Y. Liong and Dulakshi S. K. Karunasinghe Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm Journal of Hydroinformatics 2005","DOI":"10.2166\/hydro.2005.0020"},{"key":"e_1_2_1_23_1","volume-title":"25th conference on IASTED International Multi-Conference: Software Engineering","author":"Osada Akira","year":"2007","unstructured":"Akira Osada , The Role of Domain Knowledge Representation in Requirements Elicitation , 25th conference on IASTED International Multi-Conference: Software Engineering , 2007 Akira Osada, The Role of Domain Knowledge Representation in Requirements Elicitation, 25th conference on IASTED International Multi-Conference: Software Engineering, 2007"},{"key":"e_1_2_1_24_1","volume-title":"International Conference on Software Engineering","author":"Rose Preethu","year":"2009","unstructured":"Preethu Rose , A Method and Framework for Domain Knowledge Assisted Requirements Evolution , International Conference on Software Engineering , 2009 Preethu Rose, A Method and Framework for Domain Knowledge Assisted Requirements Evolution, International Conference on Software Engineering, 2009"},{"key":"e_1_2_1_25_1","volume-title":"Principles of Soft Computing","author":"Sivanandam S.N.","year":"2011","unstructured":"S.N. Sivanandam , S.N. Deepa , Principles of Soft Computing , Second edition, ISBN:978-81-265-2741-0, Wiley India , 2011 S.N. Sivanandam, S.N. Deepa, Principles of Soft Computing, Second edition, ISBN:978-81-265-2741-0, Wiley India, 2011"},{"key":"e_1_2_1_26_1","unstructured":"Sivarao Peter Brevern GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining International Journal of Electrical & Computer Sciences IJECS Vol: 9 No: 9  Sivarao Peter Brevern GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining International Journal of Electrical & Computer Sciences IJECS Vol: 9 No: 9"},{"key":"e_1_2_1_27_1","volume-title":"PHI publications","author":"Klir George J.","year":"1995","unstructured":"George J. Klir , Fuzzy Sets and Fuzzy Logic , PHI publications , 1995 ,ISBN:81-203-1136-1 George J. Klir, Fuzzy Sets and Fuzzy Logic, PHI publications, 1995,ISBN:81-203-1136-1"},{"key":"e_1_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.5408575"},{"key":"e_1_2_1_29_1","first-page":"469","volume-title":"Proceedings, IEEE International Conference","volume":"1","author":"Potter Cameron","year":"2004","unstructured":"Cameron Potter , Michael, ANFIS Application to Competition on Artificial Time Series (CATS), Fuzzy Systems 2004 , Proceedings, IEEE International Conference , vol. 1 , pp. 469 -- 474 Cameron Potter, Michael, ANFIS Application to Competition on Artificial Time Series (CATS), Fuzzy Systems 2004, Proceedings, IEEE International Conference, vol.1, pp. 469--474"},{"key":"e_1_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2006.12.008"},{"key":"e_1_2_1_31_1","first-page":"428","volume-title":"MICAI","author":"Mart\u00ednez Luis G.","year":"2010","unstructured":"Luis G. Mart\u00ednez , Antonio Rodr\u00edguez-D\u00edaz , Guillermo Licea , Juan R. Castro , Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET, Springer , MICAI 2010 , Part II, LNAI 6438 , pp. 428 -- 439 Luis G. Mart\u00ednez, Antonio Rodr\u00edguez-D\u00edaz, Guillermo Licea, Juan R. Castro, Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET, Springer, MICAI 2010, Part II, LNAI 6438, pp. 428--439"},{"key":"e_1_2_1_32_1","first-page":"9554","volume-title":"LLC","author":"Chikh Mohammed Amine","year":"2010","unstructured":"Mohammed Amine Chikh , Mohammed Ammar , Radja Marouf , A Neuro-Fuzzy Identification of ECG Beats , Springer Science+ Business Media , LLC 2010 , DOI 10.1007\/s10916-010- 9554 - 9554 Mohammed Amine Chikh, Mohammed Ammar, Radja Marouf, A Neuro-Fuzzy Identification of ECG Beats, Springer Science+Business Media, LLC 2010, DOI 10.1007\/s10916-010-9554-4"},{"key":"e_1_2_1_33_1","volume-title":"Prediction of cyclosporine A blood levels: an application of the adaptive-network-based fuzzy inference system (ANFIS) in assisting drug therapy","author":"G\u00f6ren Sezer","year":"2008","unstructured":"Sezer G\u00f6ren , Adem Karahoca , Filiz Y. Onat , M. Zafer G\u00f6ren , Prediction of cyclosporine A blood levels: an application of the adaptive-network-based fuzzy inference system (ANFIS) in assisting drug therapy , Springer , Eur J Clin Pharmacol ( 2008 ) 64: 807--814, DOI 10.1007\/s00228-008-0490-x Sezer G\u00f6ren, Adem Karahoca, Filiz Y. Onat, M. Zafer G\u00f6ren, Prediction of cyclosporine A blood levels: an application of the adaptive-network-based fuzzy inference system (ANFIS) in assisting drug therapy, Springer, Eur J Clin Pharmacol (2008) 64:807--814, DOI 10.1007\/s00228-008-0490-x"},{"key":"e_1_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2009.06.013"},{"key":"e_1_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1973.5408575"},{"key":"e_1_2_1_36_1","volume-title":"GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining","author":"Brevern Peter","year":"2009","unstructured":"Sivarao, Peter Brevern , GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining , 2009 , International Journal of Electrical & Computer Sciences IJECS Vol: 9 No : 9 Sivarao, Peter Brevern, GUI Based Mamdani Fuzzy Inference System Modeling To Predict Surface Roughness in Laser Machining, 2009, International Journal of Electrical & Computer Sciences IJECS Vol: 9 No: 9"},{"key":"e_1_2_1_37_1","first-page":"325","volume-title":"From Object Orientation to Goal Orientation: A Paradigm Shift for Requirements Engineering","author":"van Lamsweerde Axel","year":"2004","unstructured":"Axel van Lamsweerde and Emmanuel Letier , From Object Orientation to Goal Orientation: A Paradigm Shift for Requirements Engineering , Springer-Verlag Berlin Heidelberg 2004 , LNCS 2941, pp. 325 -- 340 , 2004. Axel van Lamsweerde and Emmanuel Letier, From Object Orientation to Goal Orientation: A Paradigm Shift for Requirements Engineering, Springer-Verlag Berlin Heidelberg 2004, LNCS 2941, pp. 325--340, 2004."},{"key":"e_1_2_1_38_1","unstructured":"Manuel Kolp T. Tung Do Stephane Faulkner From Social Designs to Multi-Agent Architectures  Manuel Kolp T. Tung Do Stephane Faulkner From Social Designs to Multi-Agent Architectures"},{"volume-title":"IJCSI International Journal of Computer Science Issues","author":"Dr. S.","key":"e_1_2_1_39_1","unstructured":"Dr. S. Srinivasan1 , Multi-Agent System Supply Chain Management in Steel Pipe Manufacturing , IJCSI International Journal of Computer Science Issues , Vol. 7 , Issue 4, No 4, 2010, ISSN : 1694-0814 Dr. S. Srinivasan1, Multi-Agent System Supply Chain Management in Steel Pipe Manufacturing, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 4, No 4, 2010, ISSN : 1694-0814"},{"key":"e_1_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/1018443.1022127"}],"container-title":["ACM SIGSOFT Software Engineering Notes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2108144.2108152","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2108144.2108152","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:00:26Z","timestamp":1750276826000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2108144.2108152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4,3]]},"references-count":40,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,4,3]]}},"alternative-id":["10.1145\/2108144.2108152"],"URL":"https:\/\/doi.org\/10.1145\/2108144.2108152","relation":{},"ISSN":["0163-5948"],"issn-type":[{"type":"print","value":"0163-5948"}],"subject":[],"published":{"date-parts":[[2012,4,3]]},"assertion":[{"value":"2012-04-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}