Relevant bibliographies by topics / Multiple criteria decision making

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Multiple criteria decision making'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Multiple criteria decision making"

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Huizingh, K. R. E., and H. C. J. Vrolijk. "Multiple Criteria Decision Making." Maandblad Voor Accountancy en Bedrijfseconomie 67, no. 12 (December 1, 1993): 635–46. http://dx.doi.org/10.5117/mab.67.13669.

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Hipel, K. W., K. J. Radford, and L. Fang. "Multiple participant-multiple criteria decision making." IEEE Transactions on Systems, Man, and Cybernetics 23, no. 4 (1993): 1184–89. http://dx.doi.org/10.1109/21.247900.

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Hülle, Judith, and Ralf Kaspar. "Multiple Criteria Decision Making (MCDM)." Controlling 22, no. 3 (2010): 207–8. http://dx.doi.org/10.15358/0935-0381-2010-3-207.

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Voskoglou, Michael Gr. "Grey Multiple-Criteria Decision-Making." International Journal of Grey Systems 4, no. 1 (June 30, 2024): 5–10. http://dx.doi.org/10.52812/ijgs.88.

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Decision Making (DM) is one of the most important components of human cognition. In particular, the Multiple-Criteria DM (MCDM), is a composite form of DM evaluating options with conflicting goals and choosing the best solution among the existing ones. Following the fuzzy DM criterion of Bellman and Zadeh in 1970, several other methods have been developed by other researchers for DM in fuzzy environments. Here we present a parametric, MCDM method utilizing grey numbers as tools. This method improves an earlier approach of Maji and colleagues in 2002, who used the tabular representation of a soft set as a tool for parametric MCDM in a fuzzy environment. The method is also extended to cover cases of weighted DM and suitable examples are presented illustrating our results.
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Ben Amor, Sarah, Anissa Frini, and Gilles Reinhardt. "Preface: multiple criteria decision making for sustainable decisions." Annals of Operations Research 293, no. 2 (September 25, 2020): 401–3. http://dx.doi.org/10.1007/s10479-020-03786-3.

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Pearman, Alan, and Mario T. Tabucanon. "Multiple Criteria Decision Making in Industry." Journal of the Operational Research Society 41, no. 9 (September 1990): 883. http://dx.doi.org/10.2307/2583506.

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Jaâfar, Inès Ben, and Khaled Ghédira. "Coordination based Multiple Criteria Decision Making." Journal of Decision Systems 16, no. 1 (January 2007): 37–56. http://dx.doi.org/10.3166/jds.16.37-56.

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Pearman, Alan. "Multiple Criteria Decision Making in Industry." Journal of the Operational Research Society 41, no. 9 (September 1990): 883. http://dx.doi.org/10.1057/jors.1990.128.

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WIECEK, M., MATTHIASEHRGOTT, G. FADEL, and J. RUIFIGUEIRA. "Multiple criteria decision making for engineering." Omega 36, no. 3 (June 2008): 337–39. http://dx.doi.org/10.1016/j.omega.2006.10.001.

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Mykhalevich, V. M. "Two criteria in multiple decision making." Cybernetics and Systems Analysis 48, no. 2 (March 2012): 217–26. http://dx.doi.org/10.1007/s10559-012-9400-4.

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Dissertations / Theses on the topic "Multiple criteria decision making"

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Duenas, Alejandra. "Preferences in evolutionary multiple criteria decision making optimisation." Thesis, University of Sheffield, 2003. http://etheses.whiterose.ac.uk/3456/.

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Despite the number of approaches established for Multiple Criteria Optimisation Problems, few of them have been developed for the decision making process. This research work proposes a new methodology for the solution of optimisation problems that involve multiple criteria emphasising the Decision-Maker's (DM's) preferences model and the use of evolutionary computation techniques and fuzzy logic. The use of genetic algorithms (GAs) is of vital importance to the development of this research. The use of operations research (OR) techniques and decision analysis is also considered vital. The aim of this project is to provide a definition of hybrid approaches that combine the strengths of GA and decision analysis. For this reason four hybrid models are proposed: 1. The GA-SEMOPS. 2. The fuzzy multiobjective genetic optimiser. 3. The GA-PROTRADE. 4. The interactive procedure for multiple objective optimisation problems. The main characteristics of these approaches are that they handle the DM's preferences in an interactive way and their objective functions are formulated using goal levels and surrogate functions. In order to demonstrate that these models can be used in different optimisation problems they have been applied to different case studies covering examples from environmental systems to land and human resource allocation. Each model was studied in depth, comparing the results found with those available in literature. In the majority of the cases, it was found that they performed better than existing methods. The investigations carried out showed that the proposed hybrid models can be considered as a very powerful tool for the solution of a wide variety of optimisation problems in situations from business to science and engineering.
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Reddy, Brian P. "Multiple criteria approaches to public health decision-making." Thesis, University of Sheffield, 2017. http://etheses.whiterose.ac.uk/16605/.

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Bozkurt, Ahmet. "Multi-criteria Decision Making With Interdependent Criteria Using Prospect Theory." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608408/index.pdf.

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In this study, an integrated solution methodology for a general discrete multi-criteria decision making problem is developed based on the well-known outranking method Promethee II. While the methodology handles the existence of interdependency between the criteria, it can also incorporate the prospect theory in order to correctly reflect the decision behavior of the decision maker. A software is also developed for the application of the methodology and some applications are performed and presented.
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Manning, Caroline Victoria. "Rural resource allocation : a Multiple Criteria Decision Making approach." Thesis, University of Exeter, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238961.

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Iyer, Naresh Sundaram. "A Family of Dominance Filters for Multiple Criteria Decision Making: Choosing the Right Filter for a Decision Situation." Connect to this title online, 2001. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1005939267.

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Thesis (Ph. D.)--Ohio State University, 2001.
Title from first page of PDF file. Document formatted into pages; contains xiv, 169 p.; also contains graphics (some col.). Includes abstract and vita. Advisor: B. Chandresekaran, Dept. of Computer and Information Science. Includes bibliographical references (p. 165-169).
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Sharif, Kamaruddin Bin. "Pension funding and investment : a multiple criteria decision making approach." Connect to resource, 1985. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1262290653.

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Chiu, Gerald Wing Cheong. "Multicriteria decision making models for studying construction safety /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-bc-b19887498a.pdf.

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Thesis (M.Phil.)--City University of Hong Kong, 2005.
"Submitted to Department of Building and Construction in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 239-241)
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Tsagdis, Angelis. "The use of the Analytical Hierarchy Process as a source selection methodology and its potential application within the Hellenic Air Force." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483574.

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Thesis (M.B.A.)--Naval Postgraduate School, June 2008.
Thesis Advisor(s): Cuskey, Jeffrey. "June 2008." Description based on title screen as viewed on September 2, 2008. Includes bibliographical references (p. 75-80). Also available in print.
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Hong, Ilyoo Barry. "Computerized group decision support for managerial choice/judgment tasks through facilitated preference formulation and utilization." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184752.

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In modern organizations where managers must constantly be dealing with an overload of information, it is often observed that participants in group decision processes either are not clearly aware of their specific preferences or that they are not capable of properly formulating those preferences. When this happens, inconsistent or incomplete expression of personal preferences and their use in decision making may lead to an unjustifiable outcome for the group. Due to this problem, the strengths and effectiveness of GDSS-supported group meetings may, in some situations, not be apparent. This dissertation develops a new approach to supporting group decision making, focusing on preference knowledge of individual participants in a group. A system architecture for the design of an MCDM (Multiple Criteria Decision Making) GDSS which facilitates the process of eliciting, formulating, utilizing, aggregating, and analyzing preferences for individuals within groups is presented. The architecture integrates multi-criteria decision making paradigms with a group decision support environment. A prototype has been developed in order to demonstrate the design feasibility of an architecture that centers around four phases of choice making: alternative generation, preference specification, alternative evaluation, and preference aggregation. The prototype is designed to support managerial choice and judgment processes in collaborative meetings. The intended problem domain of the model is semi-structured managerial decisions for which decision variables (attributes) can be represented in quantitative terms to some extent, yet for which evaluation of alternatives requires a high degree of intuition and personal analysis. The process of prototyping the proposed architecture and the results from a qualitative study have provided some instructive conclusions relating to MCDM GDSS design: (1) support for human choice strategies can be integrated into a GDSS, (2) appropriate management of preferences of group participants will facilitate collaborative decision processes, (3) hierarchical decomposition of a decision problem can provide structure to a problem and thereby reduce problem complexity, and (4) managerial decisions are appropriate problems to which the current approach can be applied.
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Wallenius, Hannele. "Implementing interactive multiple criteria decision methods in public policy /." Jyväskylä : University of Jyväskylä, 1991. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=005963002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Books on the topic "Multiple criteria decision making"

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Topcu, Y. Ilker, Özay Özaydın, Özgür Kabak, and Şule Önsel Ekici, eds. Multiple Criteria Decision Making. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52406-7.

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Kulkarni, Anand J., ed. Multiple Criteria Decision Making. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-7414-3.

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Fandel, Günter, and Tomas Gal, eds. Multiple Criteria Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-59132-7.

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Goicoechea, Ambrose, Stanley Zionts, and L. Duckstein, eds. Multiple Criteria Decision Making. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6.

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Yu, Po-Lung. Multiple-Criteria Decision Making. Boston, MA: Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-8395-6.

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Tzeng, G. H., H. F. Wang, U. P. Wen, and P. L. Yu, eds. Multiple Criteria Decision Making. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6.

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Zopounidis, Constantin, and Michael Doumpos, eds. Multiple Criteria Decision Making. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-39292-9.

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Gregory, Kersten, and Michalowski Wojtek, eds. Multiple-criteria decision making. Ottawa: INFOR, 1992.

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Zopounidis, Constantin. Multiple criteria decision aiding. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Zopounidis, Constantin. Multiple criteria decision aiding. New York: Nova Science, 2010.

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Book chapters on the topic "Multiple criteria decision making"

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Köksalan, Suna Kondakci, Meral Azizoğlu, and Murat Köksalan. "Scheduling with Multiple Criteria." In Multiple Criteria Decision Making, 361–68. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2666-6_37.

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Ramesh, Ramaswamy, and Stanley Zionts. "Multiple criteria decision making." In Encyclopedia of Operations Research and Management Science, 538–43. New York, NY: Springer US, 2001. http://dx.doi.org/10.1007/1-4020-0611-x_653.

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Fodor, János, and Marc Roubens. "Multiple criteria decision making." In Fuzzy Preference Modelling and Multicriteria Decision Support, 175–227. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-017-1648-2_7.

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Ramesh, Ramaswamy, and Stanley Zionts. "Multiple Criteria Decision Making." In Encyclopedia of Operations Research and Management Science, 1007–13. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_653.

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Stansbury, John, Istvan Bogardi, Yong W. Lee, and Wayne Woldt. "Multiobjective Decision Making Under Uncertainty." In Multiple Criteria Decision Making, 413–25. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_32.

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Goicoechea, Ambrose, Eugene Z. Stakhiv, and Fu Li. "A Framework for Qualitative Experimental Evaluation of Multiple Criteria Decision Support Systems (MCDSS)." In Multiple Criteria Decision Making, 1–17. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_1.

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Forman, Ernest H. "Facts and Fictions About the Analytic Hierarchy Process." In Multiple Criteria Decision Making, 123–33. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_10.

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Jablonský, Josef. "Decision Support System for Management of Patient Nutrition: An Interactive AHP/Goal Programming Approach." In Multiple Criteria Decision Making, 135–48. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_11.

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Kersten, Gregory E., Wojtek Michalowski, and Stan Szpakowicz. "Sequential Decision Making and Restructurable Modelling." In Multiple Criteria Decision Making, 149–58. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_12.

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Klein, David A., Martin Weber, and Edward H. Shortliffe. "Computer-Based Explanation of Multiattribute Decisions." In Multiple Criteria Decision Making, 159–71. New York, NY: Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4612-2918-6_13.

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Conference papers on the topic "Multiple criteria decision making"

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Liu, Yi-Hsin, Jerald P. Dauer, and Khalid J. Siddiqui. "Environmental control using multiple-criteria decision making." In Environmental and Industrial Sensing, edited by Tuan Vo-Dinh and Stephanus Buettgenbach. SPIE, 2001. http://dx.doi.org/10.1117/12.417464.

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Sahin, Ismail, and Mustafa Bagriyanik. "Multiple criteria decision making in distribution system planning." In 2015 9th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2015. http://dx.doi.org/10.1109/eleco.2015.7394586.

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Boufateh, Ines, Anne Perwuelz, Besoa Rabenasolo, and Anne-Marie Jolly-Desodt. "Multiple Criteria Decision Making for environmental impacts optimization." In Industrial Engineering (CIE39). IEEE, 2009. http://dx.doi.org/10.1109/iccie.2009.5223757.

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Quan, Zhang, Wen Xin, Hou Jue, and Cai Sheng. "Multiple Person Decision Making with Heterogeneous Criteria Structure." In 2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2015. http://dx.doi.org/10.1109/icicta.2015.144.

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Ratnayake, Poshitha, and Eranjan Padumadasa. "Insurance Tender Selection Using Multiple Criteria Decision Making." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2013. http://dx.doi.org/10.13033/isahp.y2013.048.

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Ikram, Bensouna, Fikri Benbrahim Chahinaze, Sefiani Naoufal, and Azzouzi Hamid. "Competencies Assessment Approach based on Multiple Criteria Decision Making." In 2020 IEEE 13th International Colloquium of Logistics and Supply Chain Management (LOGISTIQUA). IEEE, 2020. http://dx.doi.org/10.1109/logistiqua49782.2020.9353948.

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Mahmoodzadeh, S., M. Pariazar, M. S. Zaeri, and M. A. Torkamani. "Evaluate projects by using multiple criteria decision making techniques." In 2007 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE, 2007. http://dx.doi.org/10.1109/ieem.2007.4419194.

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Borer, Nicholas, and Dimitri Mavris. "Multiple Criteria Decision Making for Large Scale Systems Design." In AIAA 5th ATIO and16th Lighter-Than-Air Sys Tech. and Balloon Systems Conferences. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-7437.

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Diaz, Hugo, and C. Guedes Soares. "Micro-Siting of Floating Turbines Through Multiple-Criteria Decision-Making." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-63752.

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Abstract Multi-Criteria Decision Methods (MCDM) as a complement to current practices for identifying an initial compromise solution to the problem of wind turbine micro-siting are proposed. MCDM deals with multiple objectives in decision-making. The main goal of these methods is to choose among several alternatives using decision criteria previously defined. The use of MCDM guarantees the identification of the alternative that better performs than all the others according to the selected criteria. After a literature review on available methods for micro-siting of offshore wind turbines in a specific location, and an introduction to the MCDM, the usefulness and potential of MCDM in siting floating wind turbines is highlighted. The MCDM methods can add new parameters to the floating wind farms’ layout process. The results of this study support the potential role of these methods as crucial tools to technology developers and decision-makers.
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Chiao, Kuo-Ping. "Multiple Criteria Decision Making with Generalized Fuzzy Sets Arithmetic Operations." In 2018 International Conference on System Science and Engineering (ICSSE). IEEE, 2018. http://dx.doi.org/10.1109/icsse.2018.8520057.

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Reports on the topic "Multiple criteria decision making"

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Dolgunovas, Markas, and Rosita Norvaišienė. Analysis of Hybrid Timber Construction by Multiple Criteria Decision-Making Method. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541025944.

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Engau, A., and M. M. Wiecek. 2D Decision-Making for Multi-Criteria Design Optimization. Fort Belvoir, VA: Defense Technical Information Center, May 2006. http://dx.doi.org/10.21236/ada462566.

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Zio, Enrico, and Nicola Pedroni. Overview of risk-informed decision-making processes. Fondation pour une culture de sécurité industrielle, October 2012. http://dx.doi.org/10.57071/539rdm.

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The authors introduce the general concepts, definitions and issues related to the use of Risk-informed decision-making (RIDM). These are structured processes which assist decision-makers when faced with high impact, complex decisions involving multiple objectives and the presence of uncertainty. They aim to ensure that decisions between competing alternatives are taken with an awareness of the risks associated with each option, and that all attributes of a decision are considered in an integrated manner. Motivations for the use of these techniques as a complement to more traditional deterministic approaches to risk assessment are provided. The RIDM processes adopted by NASA and by the US Nuclear Regulatory Commission are described in detail, with an analysis of commonalities and differences in approach.
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Research, Community. Food Hygiene Rating Scheme Online Display in Wales: Executive summary. Food Standards Agency, June 2023. http://dx.doi.org/10.46756/sci.fsa.mzi656.

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Online is increasingly one of the main channels through which consumers interact with food businesses – and research and purchase journeys will often involve multiple channels (online, face-to-face, telephone). It can feel inconsistent that businesses are required to display FHRS ratings on their premises but not online. Indeed, Consumers could see no reason for a distinction between the information available at the physical premises to those online particularly given the increasing role of online food purchase. Consumers are already quite confident navigating the online landscape when it comes to researching and selecting restaurants and takeaways. They are accustomed to making the most of the information available online to make decisions around food. and are not necessarily demanding additional help. A range of criteria (including reviews; word of mouth) is used to help inform choices and decisions around food and hygiene in particular – but this information is vague, haphazard and unreliable. There is a lack of reliable, credible information about food hygiene in the online space. As many regard the FHRS as independent and credible there is some feeling that it would give online sites a “legitimacy” reviews and recommendations do not. Consumers make quick, off-the-cuff decisions when it comes to selecting and researching food. While they are familiar with and will make (at a glance) use of FHRS ratings on businesses’ physical premises, they are not actively seeking these out online where accessing ratings is currently a more involved process requiring navigation to another website. Consumers strongly support mandated FHRS online display and believe it would both help them make better decisions about food and encourage greater compliance by FBOs. FHRS ratings on FBO websites (and other online resources, like food aggregators) would be a useful addition to consumers’ repertoire of information. Consumers also feel FHRS online would have a positive impact on FBOs from a consumer perspective by making them more compliant. Consumers feel it is important that the ratings displayed online are trustworthy, as well as quick and easy to access. Consumers feel that FHRS ratings should be displayed as prominently online as they are on premises i.e. on the landing page. There is also a call for safeguards to be put in place to ensure FBOs can’t display ‘fake’ ratings.
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Karam, Sofia, Morteza Nagahi, Vidanelage Dayarathna, Junfeng Ma, Raed Jaradat, and Michael Hamilton. Integrating systems thinking skills with multi-criteria decision-making technology to recruit employee candidates. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41026.

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The emergence of modern complex systems is often exacerbated by a proliferation of information and complication of technologies. Because current complex systems challenges can limit an organization's ability to efficiently handle socio-technical systems, it is essential to provide methods and techniques that count on individuals' systems skills. When selecting future employees, companies must constantly refresh their recruitment methods in order to find capable candidates with the required level of systemic skills who are better fit for their organization's requirements and objectives. The purpose of this study is to use systems thinking skills as a supplemental selection tool when recruiting prospective employees. To the best of our knowledge, there is no prior research that studied the use of systems thinking skills for recruiting purposes. The proposed framework offers an established tool to HRM professionals for assessing and screening of prospective employees of an organization based on their level of systems thinking skills while controlling uncertainties of complex decision-making environment with the fuzzy linguistic approach. This framework works as an expert system to find the most appropriate candidate for the organization to enhance the human capital for the organization.
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Unal, Beyza, Julia Cournoyer, Calum Inverarity, and Yasmin Afina. Uncertainty and complexity in nuclear decision-making. Royal Institute of International Affairs, March 2022. http://dx.doi.org/10.55317/9781784135157.

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Complex systems modelling is already implemented in critical policy areas such as climate change and health. It could also play an important role in the nuclear weapons sphere – by opening alternative pathways that may help mitigate risks of confrontation and escalation – but such modelling has yet to be fully embraced by policymakers in this community. By applying a complexity lens, policy- and decision-makers at all stages along the nuclear chain of command might better understand how their actions could have significant consequences for international security and peace. Nuclear decision-making is shaped by, and interacts with, the ever-changing international security environment and nuclear weapons policy. Tackling problems in the nuclear weapons policy field requires the implementation of ‘system of systems’ design principles, mathematical modelling approaches and multidisciplinary analysis. This research paper presents nuclear weapons decision-making as a complex endeavour, with individual decisions being influenced by multiple factors such as reasoning, intuition (gut feeling), biases and system-level noise. At a time of crisis, these factors may combine to cause risks of escalation. The authors draw on past examples of near nuclear use to examine decision-making in the nuclear context as a ‘wicked problem’, with multi-layered, interacting and constantly fluctuating elements.
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Graham, David E. Focused Decision Making in an Ambiguous World: Defining Criteria for the Use of U.S. Force Abroad. Fort Belvoir, VA: Defense Technical Information Center, January 1993. http://dx.doi.org/10.21236/ada443191.

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Stevenson, Mary K. Decision-Making With Long-Term Consequences: Temporal Discounting for Single and Multiple Outcomes in the Future. Fort Belvoir, VA: Defense Technical Information Center, October 1995. http://dx.doi.org/10.21236/ada301353.

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Omar, Farhad, Steven T. Bushby, and Ronald D. Williams. Assessing the performance of residential energy management control algorithms: multi-criteria decision making using the analytical hierarchy process. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2017.

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Lenhardt, Amanda. Progress Towards Meaningful Women’s Participation in Conflict Prevention and Peacebuilding Decision-makingt prevention and peacebuilding decision-making. Institute of Development Studies, December 2021. http://dx.doi.org/10.19088/k4d.2022.044.

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The Women, Peace and Security or Gender Peace and Security (WPS/GPS) agenda has expanded significantly over the 20+ years of concerted efforts at many levels to expand the role of women in conflict resolution and peacebuilding. Yet many authors note that the expansion of international agreements and national plans to support greater women’s participation in decision-making have yet to translate into concrete changes. This report examines progress in promoting women’s meaningful participation in decision making processes in conflict prevention and peacebuilding, with a focus on changes since 2018. Evidence on women’s meaningful participation in decision-making tends to focus on a small range of measurable outcomes with some studies considering the outcomes of women’s involvement in those processes to determine the extent to which they might be ‘meaningful’. Few studies examine differential outcomes of such initiatives for different groups of women, and most data does not allow for the disaggregation of intersecting identities between gender, ethnicity, race, disability, migration status and other key factors. Evidence collected for this report suggests that policies and programmes seeking to support greater women’s participation in decision-making in conflict prevention and peacebuilding often struggle to address the broader structural factors that inhibit women’s empowerment. Tackling longstanding and often deeply embedded harmful social norms has proven challenging across sectors, and in conflict or post-conflict settings with highly complex social dynamics, this can be especially difficult. Many of the issues highlighted in the literature as hindering progress on the WPS agenda relate to cross-cutting issues at the heart of gender inequality. Multiple authors from within women’s movements in conflict and post-conflict settings emphasise the need for policies and programmes that support women to act as agents of change in their own communities and which amplify their voices rather than speak on their behalf. Recent achievements in South Sudan and the Pacific region are indicative of the potential of women’s movements to affect change in conflict prevention and peacebuilding and suggest progress is being made in some areas, though gender equality in these processes may be a long way off.
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