1. D. Bouyssou, E. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke. Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy. Kluwer Academic, Dordrecht, 2002. [bibtex-entry]



2. R. Slowinski, editor. Fuzzy sets in decision analysis, operations research and statistics. Kluwer Academic, Dordrecht, 1998. [bibtex-entry]



3. R. Slowinski, editor. Intelligent decision support - Handbook of applications and advances of the Rough Sets theory. Kluwer Academic, Dordrecht, 1992. [bibtex-entry]



4. R. Slowinski and J. Teghem, editors. Stochastic versus Fuzzy approaches to Multiobjective Mathematical Programming under uncertainty. Kluwer Academic, Dordrecht, 1990. [bibtex-entry]

1. J. Figueira, S. Greco, V. Mousseau, and R. Slowinski. Interactive Multiobjective Optimization using a Set of Additive Value Functions. In J. Branke, K. Deb, K. Miettinen, and R. Slowinski, editors,Multiobjective Optimization: Interactive and Evolutionary Approaches, pages 99--122. 2008.
   Note: LNCS vol. 5252. [WWW ] [ ] [Abstract] [bibtex-entry]



2. S. Greco, V. Mousseau, and R. Slowinski. Ordinal regression revisited: multiple criteria ranking using a set of additive value functions. European Journal of Operational Research, 191(2):415-435, December 2008. [WWW ] [ ] [Abstract] [bibtex-entry]



3. Jerzy Blaszczynski, Salvatore Greco, and Roman Slowinski. Multi-criteria classification - A new scheme for application of dominance-based decision rules. European Journal of Operational Research, 181(3):1030 - 1044, September 2007. [WWW ] [bibtex-entry]



4. S. Greco, V. Mousseau, and R. Slowinski. Robust multiple criteria ranking using a set of additive value functions. In B. Roy, M. Aloulou, and R. Kalai, editors,Robustness in OR-DA, pages 95-128. Lamsade, 2007.
   Note: Annales du Lamsade no 7. [WWW ] [ ] [Abstract] [bibtex-entry]



5. B. Roy and R. Slowinski. Multi-criteria assignment problem with incompatibility and capacity constraints. Annals of Operations Research, 147(1):287-316, October 2006. [WWW ] [bibtex-entry]



6. Bernard Roy and Roman Slowinski. Affectation multicritère de tâches à des processeurs hétérogènes sous contraintes de capacité de mutuelle exclusion. In Vangelis Th. Paschos, editor,Optimisation combinatoire 3 - applications, pages 231-279. Lavoisier, 2006. [WWW ] [bibtex-entry]



7. S. Greco, B. Matarazzo, and R. Slowinski. Decision Rule Approach. In J. Figueira, S. Greco, and M. Ehrgott, editors,Multiple Criteria Decision Analysis: State of the Art Surveys, pages 507-562. Springer Verlag, Boston, Dordrecht, London, 2005. [WWW ] [bibtex-entry]



8. S. Wilk, R. Slowinski, W. Michalowski, and S. Greco. Supporting triage of children with abdominal pain in the emergency room. European Journal of Operational Research, 160(3):696-709, february 2005. [WWW ] [bibtex-entry]



9. S. Greco, B. Matarazzo, and R. Slowinski. Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules. European Journal of Operational Research, 158(2):271-292, October 2004. [WWW ] [bibtex-entry]



10. K. Dembczynski, S. Greco, and R. Slowinski. Methodology of rough-set-based classification and sorting with hierarchical structure of attributes and criteria. Control & Cybernetics, 31:891--920, 2002. [bibtex-entry]



11. Ph.. Fortemps and R. Slowinski. A graded quadrivalent logic for ordinal preference modelling : Loyola-like approach. Fuzzy Optimization and Decision Making, 1:93-111, 2002. [bibtex-entry]



12. S. Greco, B. Matarazzo, and R. Slowinski. Rough sets methodology for sorting problems in presence of multiple attributes and criteria. European Journal of Operational Research, 138:247-259, 2002. [bibtex-entry]



13. S. Greco, B. Matarazzo, and R. Slowinski. Multicriteria classification, chapter 16.1.9. In W. Kloesgen and J. Zytkow, editors,Handbook of Data Mining and Knowledge Discovery, pages 318--328. Oxford University Press, New York, 2002. [bibtex-entry]



14. S. Greco, B. Matarazzo, and R. Slowinski. Rough approximation by dominance relations. International Journal of Intelligent Systems, 17:153--171, 2002. [bibtex-entry]



15. S. Greco, B. Matarazzo, and R. Slowinski. Preference representation by means of conjoint measurement and decision rule model. In D. Bouyssou, É. Jacquet-Lagrèze, P. Perny, R. Slowinski, D. Vanderpooten, and Ph. Vincke, editors,Aiding Decisions with Multiple Criteria: Essays in Honour of Bernard Roy, pages 263--313. Kluwer Academic Publishers, Dordrecht, 2002. [bibtex-entry]



16. S. Greco, B. Predki, and R. Slowinski. Searching for an equivalence between decision rules and concordance-discordance preference model in multicriteria choice problems. Control and Cybernetics, 31:921--935, 2002. [bibtex-entry]



17. S. Greco, B. Matarazzo, and R. Slowinski. Conjoint measurement and rough set approach for multicriteria sorting problems in presence of ordinal criteria. In A. Colorni, M. Paruccini, and B. Roy, editors,A-MCD-A, Aide Multicritère à la Décision/Multiple Criteria Decision Aid, pages 117--144. European Commission, Joint Research Centre, EUR 19808 EN, Ispra, 2001. [bibtex-entry]



18. S. Greco, B. Matarazzo, and R. Slowinski. Rough sets theory for multicriteria decision analysis. European Journal of Operational Research, 129:1-47, 2001. [bibtex-entry]



19. S. Greco, B. Matarazzo, and R. Slowinski. Rough set processing of vague information using fuzzy similarity relations. In C.S. Calude and G. Paun, editors,Finite Versus Infinite -- Contributions to an Eternal Dilemma, pages 149--173. Springer-Verlag, London, 2000. [bibtex-entry]



20. S. Greco, B. Matarazzo, and R. Slowinski. Fuzzy dominance-based rough set approach. In F. Masulli, R. Parenti, and G. Pasi, editors,Advances in Fuzzy Systems and Intelligent Technologies, pages 56--66. Shaker Publishing, Maastricht (NL), 2000. [bibtex-entry]



21. S. Greco, B. Matarazzo, and R. Slowinski. Fuzzy extension of the rough set approach to multicriteria and multiattribute sorting. In J. Fodor, B. De Baets, and P. Perny, editors,Preferences and Decisions under Incomplete Knowledge, pages 131--151. Physica-Verlag, Heidelberg, 2000. [bibtex-entry]



22. S. Greco, B. Matarazzo, and R. Slowinski. Extension of the rough set approach to multicriteria decision support. European Journal of Operational Research, 38:161-195, 2000. [bibtex-entry]



23. S. Greco, B. Matarazzo, and R. Slowinski. Decision rules. In Encyclopedia of Management, 4$^{th}$ edition, pages 178--183. Gale Group, Farmington Hills, MI, 2000. [bibtex-entry]



24. S. Greco, B. Matarazzo, and R. Slowinski. Extension of the Rough Set Approach to Multicriteria Decision Support. INFOR, 38(3):161-196, 2000. [bibtex-entry]



25. S. Greco, B. Matarazzo, and R. Slowinski. Dealing with missing data in rough set analysis of multi-attribute and multi-criteria decision problems. In S.H. Zanakis, G. Doukidis, and C. Zopounidis, editors,Decision Making: Recent Developments and Worldwide Applications, pages 295--316. Kluwer, Dordrecht, 2000. [bibtex-entry]



26. M. Hapke, A. Jaszkiewicz, and R. Slowinski. Pareto simulated annealing for fuzzy multi-objective combinatorial optimization. Journal of Heuristics, 6(3):329-345, 2000. [bibtex-entry]



27. V. Mousseau, R. Slowinski, and P. Zielniewicz. A User-oriented Implementation of the ELECTRE TRI Method Integrating Preference Elicitation Support. Computers & Operations Research, 27(7-8):757-777, 2000. [WWW ] [ ] [Abstract] [bibtex-entry]



28. R. Slowinski and D. Vanderpooten. A generalized definition of rough approximations based on similarity. IEEE Transactions on Data and Knowledge Engineering, 12:331--336, 2000. [bibtex-entry]



29. R. Susmaga, R. Slowinski, S. Greco, and B. Matarazzo. Generation of reducts and rules in multi-attribute and multi-criteria classification. Control and Cybernetics, 29:969--988, 2000. [bibtex-entry]



30. A.I. Dimitras, R. Slowinski, R. Susmaga, and C. Zopounidis. Business failure prediction using rough sets. European Journal of Operational Research, 114:263-280, 1999. [bibtex-entry]



31. S. Greco, B. Matarazzo, and R. Slowinski. Rough approximation of a preference relation by dominance relations. European Journal of Operational Research, 117(1):63-83, 1999. [bibtex-entry]



32. A. Jaszkiewicz and R. Slowinski. The Light Beam Search approach -an overview of methodology and applications. European Journal of Operational Research, 113(2):300-314, 1999. [bibtex-entry]



33. S. Greco, B. Matarazzo, and R. Slowinski. A new rough set approach to evaluation of bankruptcy risk. In C. Zopounidis, editor,Operational tools in the management of financial risks, pages 121-136. Kluwer Dordrecht, Dodrecht, 1998. [bibtex-entry]



34. S. Greco, B. Matarazzo, and R. Slowinski. A new rough set approach to multicriteria and multiattribute classification. in L. Polkowski and A. Skowron, Rough Sets and Current Trends in Computing, Springer-Verlag, Berlin, pp 60-67, 1998. [bibtex-entry]



35. M. Hapke, A. Jaszkiewicz, and R. Slowinski. Interactive analysis of multiple-criteria project scheduling problems. European Journal of Operational Research, 107(2):315-324, 1998. [bibtex-entry]



36. V. Mousseau and R. Slowinski. Inferring an ELECTRE TRI model from assignment examples. Journal of Global Optimization, 12(2):157-174, 1998. [WWW ] [ ] [Abstract] [bibtex-entry]



37. S. Greco, B. Matarazzo, and R. Slowinski. Rough set approach to multi-attribute choice and ranking problems. in G. Fandel and T. Gal (eds), Multiple Criteria Decision Making. Proceedings of the Twelfth Internatinal Conference, Hagen (Germany), Springer-Verlag, Berlin, 1997. [bibtex-entry]



38. R. Slowinski and D. Vanderpooten. Similarity relation as a basis for rough approximations. In P.P. Wang, editor,Advances in Machine Intelligence and Soft-Computing, vol.IV, pages 17--33. Duke University Press, Durham, NC, 1997. [bibtex-entry]



39. R. Slowinski, C. Zopounidis, and A.I. Dimitras. Prediction of Company acquisition in Greece by Means of the Rough Set Approach. European Journal of Operational Research, 100:1-15, 1997. [bibtex-entry]



40. R. Slowinski. Fuzzy multi-objective linear programming. Belgian Journal of Operations Research, Statistics and Computer Science, 37:83--98, 1997. [bibtex-entry]



41. P. Czyzak and R. Slowinski. Possibilistic construction of fuzzy outranking relation for multiple-criteria ranking. Fuzzy Sets and Systems, 81:123--131, 1996. [bibtex-entry]



42. Z. Pawlak, J.W. Grzymala-Busse, R. Slowinski, and W. Ziarko. Rough Sets. Communications of the ACM, 38(11):89-95, 1995. [bibtex-entry]



43. R. Slowinski and C. Zopounidis. Application of the rough set approach to evaluation of bankruptcy risk. International Journal of Intelligent Systems in Accounting, Finance and Management, 4:1:27-1:41, 1995. [bibtex-entry]



44. R. Slowinski. Rough set approach to decision analysis. AI Expert Magazine, 10(3):18-25, 1995. [bibtex-entry]



45. Z. Pawlak and R. Slowinski. Rough set approach to multi-attribute decision analysis. European Journal of Operational Research, 72(3):443-459, February 1994. [bibtex-entry]



46. Z. Pawlak and R. Slowinski. Decision Analysis using Rough Sets. International Transactions on Operational Research, 1:107-114, 1994. [bibtex-entry]



47. R. Slowinski, B. Soniewicki, and J. Weglarz. DSS for multiobjective project scheduling. European Journal of Operational Research, 79(2):220-229, 1994. [bibtex-entry]



48. B. Roy and R. Slowinski. Criterion of distance between technical programming and socio-economic priority. RAIRO Recherche Opérationnelle, 27(1):45-60, 1993. [bibtex-entry]



49. R. Slowinski. Rough set learning of preferential attitude in multi-criteria decision making. In J.Komorowski and Z.Ras, editors,Methodologies for Intelligent Systems, pages 642--651. Springer-Verlag, Berlin, 1993. [bibtex-entry]



50. A. Jaszkiewicz and R. Slowinski. Outranking-based interactive exploration of a set of multicriteria alternatives. Journal of Multi Criteria Decision Analysis, 6(2):93-106, 1992. [bibtex-entry]



51. A. Jaszkiewicz and R. Slowinski. Cone contraction method with visual interaction for multiple objective non linear programmes. Journal of Multi-Criteria Decision Analysis, 1(1):29-46, 1992. [bibtex-entry]



52. R. Slowinski. A generalization of the indiscernibility relation for rough set analysis of quantitative information. Rivista di Matematica per le Scienze Economiche e Sociali, 15(1):65-78, 1992. [bibtex-entry]



53. R. Slowinski. Interactive multiobjective optimization based on ordinal regression. In Lewandovski A. and Volkovich V., editors,Multiobjective Problems of Mathematical Programming, volume 351 of LNEMS, pages 93-100. Springer-Verlag, Berlin, 1991. [bibtex-entry]



54. R. Slowinski. Interactive multiobjective optimization based on outranking and ordinal regression. Foundations of Control Engineering, 14(2):127-134, 1989. [bibtex-entry]



55. M. Boryczka and R. Slowinski. Derivation of Optimal Decision Algorithms from Decision Tables Using Rough Sets. Bull. Polish Academy of Sciences, Technical Series, 34(3-4):251-260, 1988. [bibtex-entry]



56. E. Jacquet-Lagrèze, R. Meziani, and R. Slowinski. MOLP with an interactive assessment of a piecewise-linear utility function. European Journal of Operational Research, 31(3):350-357, 1987. [bibtex-entry]



57. R. Slowinski. A multicriteria fuzzy linear programming method for water supply system development planning. Fuzzy Sets and Systems, 19(3):217-238, 1986. [bibtex-entry]



58. R. Slowinski and J. Warczynski. Application of the ellipsoid method in an interactive procedure for multicriteria linear programming. Operations Research, 28:89-100, 1984. [bibtex-entry]

1. Krzysztof Dembczynski, Salvatore Greco, and Roman Slowinski. Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.. In RSFDGrC (1), pages 54-63, 2005. [WWW ] [bibtex-entry]



2. Salvatore Greco, Benedetto Matarazzo, and Roman Slowinski. Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach.. In RSFDGrC (2), pages 1-11, 2005. [WWW ] [bibtex-entry]



3. Roman Slowinski, Salvatore Greco, and Vincent Mousseau. Multi-criteria ranking of a finite set of alternatives using ordinal regression and additive utility functions - a new UTA-GMS method.. In Practical Approaches to Multi-Objective Optimization, 2005. [WWW ] [bibtex-entry]



4. S. Greco, B. Matarazzo, and R. Slowinski. The axiomatic basis of Sugeno integral and associative aggregation operator. In 4th International Workshop on Preferences and Decisions, Trento, Italy, pages 33-38, September 2003. [bibtex-entry]



5. S. Greco, B. Matarazzo, and R. Slowinski. Bipolar Sugeno and Choquet Integrals. In Proceedings of the EUROFUSE 02 Workshop on Information Systems, pages ??, 2002. [bibtex-entry]



6. R. Slowinski, S. Greco, and B. Matarazzo. Mining decision-rule preference model from rough approximation of preference relation. In Proceedings of the 26$^{th}$ IEEE Annual International Conference on Computer Software & Applications (COMPSAC 2002), Oxford, pages 1129--1134, 2002. [bibtex-entry]



7. R. Slowinski, S. Greco, and B. Matarazzo. Rough set analysis of preference-ordered data. In J.J. Alpigini, J.F. Peters, A. Skowron, and N. Zhong, editors, Rough Sets and Current Trends in Computing, Berlin, pages 44--59, 2002. Springer-Verlag. [bibtex-entry]



8. S. Greco, B. Matarazzo, and R. Slowinski. Assessment of a value of information using rough sets and fuzzy measures. In J. Chojcan and J. Leski, editors, Fuzzy Sets and their Applications, Gliwice, pages 185--193, 2001. Silesian University of Technology Press. [bibtex-entry]



9. S. Greco, B. Matarazzo, and R. Slowinski. Rough set approach to decisions under risk. In W. Ziarko and Y.Yao, editors, Rough Sets and Current Trends in Computing, Berlin, pages 160--169, 2001. Springer-Verlag. [bibtex-entry]



10. S. Greco, B. Matarazzo, and R. Slowinski. The use of rough sets and fuzzy sets in MCDM. In T. Gal, T. Stewart, and T. Hanne, editors, Advances in MCDM models, Algorithms, Theory, and Applications, pages 14.1-14.59, 1999. Kluwer Academic, Dordrecht. [bibtex-entry]



11. S. Greco, B. Matarazzo, and R. Slowinski. Handling missing values in rough set analysis of multi-attribute and multi-criteria decision problems. In in N. Zhong, A. Skowron, and S. Ohsuga, editors, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, LNAI 1711, pages 146-157, 1999. Springer-Verlag, Berlin. [bibtex-entry]



12. V. Jog, W. Michalowski, R. Slowinski, and R. Susmaga. The Rough Sets Analysis and the Neural Networks Classifier: A Hybrid Approach to Predicting Stocks' Performance. In D.K. Despotis and C. Zopounidis, editors, Integrating Technology and Human Decisions: Bridging into the 21st Century, Proceedings of the 5th International Meeting of the Decision Sciences Institute, volume II, pages 1386-1388, 1999. New Technologies Editions, Athens, Greece. [bibtex-entry]



13. R. Slowinski, C. Zopounidis, A.I. Dimitras, and R. Susmaga. Rough Set Predictor of Business Failure. In R.R. Ribeiro, R.R. Yager, H.J. Zimmermann, and J. Kacprzyk, editors, Soft Computing in Financial Engineering, pages 402-424, 1999. Physica-Verlag, Heidelberg. [bibtex-entry]



14. S. Greco, B. Matarazzo, and R. Slowinski. Fuzzy similarity relation as a basis for rough approximations. In L. Polkowski and A. Skowron, editors, Rough Sets and Current Trends in Computing, pages 283-289, 1998. Springer-Verlag, Berlin. [bibtex-entry]



15. S. Greco, B. Matarazzo, R. Slowinski, and A. Tsoukiàs. Exploitation of a rough approximation of the outranking relation in multicriteria choice and ranking. In T.J Stewart and R.C van der Honert, editors, Trends in Multi-Criteria Decision Making, pages 45--60, 1998. Springer Verlag, LNEMS 465, Berlin. [bibtex-entry]



16. K. Krawiec, R. Slowinski, and D. Vanderpooten. Learning of decision rules from similarity based rough approximations. In L. Polkowski and A. Skowron, editors, Rough sets in knowledge discovery, Heidelberg, pages 37-54, 1998. Physica-Verlag. [bibtex-entry]



17. H. Rommelfanger and R. Slowinski. Fuzzy linear programming with single or multiple objective functions. In R. Slowinski, editor, Fuzzy Sets in Decision Analysis, Operations Research and Statistics, 1998. Kluwer Academic Publishers, Boston. [bibtex-entry]



18. D. Bollinger, L.Y. Maystre, and R. Slowinski. Un cas concret de la contribution de l'aide multicritère à la décision à la coordination inter-cantonale pour l'incinération des déchets urbains. In 45e Journées du Groupe de Travail Européen Aide Multicritère à la Décision, Celàkovice, République Tchèque, 20-21 Mars 1997. [bibtex-entry]



19. A. Jaszkiewicz and R. Slowinski. Outranking-driven search over a nondominated set. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making, LNEMS 448, Berlin, pages 340-349, 1997. Springer-Verlag. [bibtex-entry]



20. R. Slowinski and D. Vanderpooten. Similarity relation as a basis for rough approximations. In Wang P., editor, Advances in Machine Intelligence & Soft-computing, pages 17--33, 1997. Bookwrights, Raleigh. [bibtex-entry]



21. K. Krawiec, R. Slowinski, and D. Vanderpooten. Construction of rough clasifiers based on application of a similarity relation. In S. Tsumoto, S. Kobayashi, T. Yokomori, H. Tanaka, and A. Nakamura, editors, RSFD'96 - Fourth International Workshop on Rough Sets, Fuzzy Sets, and Knowledge Discovery, pages 23-30, 1996. Tokyo University Press. [bibtex-entry]



22. R. Slowinski. FLIP: an interactive method for multiobjective linear programming with fuzzy coefficients. In R. Slowinski and J. Teghem, editors, Stochastic versus Fuzzy Approaches to Multiobjective Mathematical Programming under Uncertainty, pages 249-262, 1990. Kluwer Academic, Dordrecht. [bibtex-entry]

1. S. Greco, V. Mousseau, and R. Slowinski. Ordinal regression revisted: Multiple criteria ranking with a set of additive value functions. Technical report, LAMSADE, Université Paris Dauphine, 2005.
   Note: Cahiers du LAMSADE, nº 240. [WWW ] [ ] [Abstract] [bibtex-entry]



2. S. Greco, B. Matarazzo, and R. Slowinski. Are judgments about relative importance of criteria dependent or independent of the set of alternatives ? an experimental approach. Report RA-006/99, Poznan Univerity of Technology, Institute of Computing Science, 1999. [bibtex-entry]



3. V. Mousseau, R. Slowinski, and P. Zielniewicz. ELECTRE TRI 2.0a : Methodological guide and user's documentation. Document du LAMSADE no.111, Université de Paris-Dauphine, 1999. [ ] [Abstract] [bibtex-entry]



4. S. Greco, B. Matarazzo, and R. Slowinski. On Joint use of Indiscernibility, Similarity and Dominance In Rough Approximation Of Decision Classes. Research Report RA-012/98, Institute of Computing Science - Poznan University of Technology, 1998. [bibtex-entry]



5. S. Wilk, M. Flinkman, W. Michalowski, S. Nilsson, R. Slowinski, and R. Susmaga. Identification of biodiversity and other forest attributes for sustainable forest management: Siberian forest case study. Report IR-98/11, IIASA, 1998. [bibtex-entry]



6. S. Greco, B. Matarazzo, R. Slowinski, and A. Tsoukiàs. Exploiting a rough approximation of the outranking relation. Technical report, Cahier du LAMSADE n. 152, Université Paris Dauphine, Paris, 1997. [bibtex-entry]



7. M. Kostkowski and R. Slowinski. UTA+ Application (v. 1.20) -- User's manual. Technical report Documents du LAMSADE 95, Université de Paris-Dauphine, Paris, 1996. [bibtex-entry]



8. V. Mousseau and R. Slowinski. Inferring an ELECTRE TRI model from assignment examples. Cahiers du LAMSADE no.140, Université de Paris-Dauphine, 1996. [ ] [Abstract] [bibtex-entry]



9. R. Slowinski and D. Vanderpooten. A generalized definition of rough approximations. ICS Research Report 4/96, Warsaw University of Technology, Warsaw, 1996. [bibtex-entry]



10. R. Slowinski and D. Vanderpooten. Similarity relations as a basis for rough approximations. ICS Research Report 53/95, Warsaw University of Technology, Warsaw, 1995. [bibtex-entry]

1. S. Greco, B. Matarazzo, and R. Slowinski. Axiomatic basis of noncompensatory preferences.
   Note: Communication to phFoundations of Utility and Risk Theory, FUR X, 30 May--2 June, Torino, Italy, 2001. [bibtex-entry]



2. V. Mousseau and R. Slowinski. L'approche agrégation/désagrégation pour les méthodes de surclassement.
   Note: Séminaire ''Modélisation des Préférences et Aide Multicritère à la Décision'', LAMSADE, Université de Paris-Dauphine, 1997. [bibtex-entry]

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