Decider: A fuzzy multi-criteria group decision support system |
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| Authors: | Jun Ma Jie Lu Guangquan Zhang |
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| Affiliation: | 1. School of Economics and Management, Tsinghua University, Beijing 100084, China;2. School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China;1. Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Via Amendola 2 – Padiglione Morselli, 42100 Reggio Emilia, Italy;2. Centre of Operations Research and Logistics, Portsmouth Business School, University of Portsmouth, Portland Street – Richmond Building, Portsmouth PO1 3DE, UK;1. Department of Economics and Business, University of Catania, Corso Italia 55, 95129 Catania, Italy;2. Portsmouth Business School, Operations & Systems Management, University of Portsmouth, Portsmouth PO1 3DE, United Kingdom |
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| Abstract: | Multi-criteria group decision making (MCGDM) aims to support preference-based decision over the available alternatives that are characterized by multiple criteria in a group. To increase the level of overall satisfaction for the final decision across the group and deal with uncertainty in decision process, a fuzzy MCGDM process (FMP) model is established in this study. This FMP model can also aggregate both subjective and objective information under multi-level hierarchies of criteria and evaluators. Based on the FMP model, a fuzzy MCGDM decision support system (called Decider) is developed, which can handle information expressed in linguistic terms, boolean values, as well as numeric values to assess and rank a set of alternatives within a group of decision makers. Real applications indicate that the presented FMP model and the Decider software are able to effectively handle fuzziness in both subjective and objective information and support group decision-making under multi-level criteria with a higher level of satisfaction by decision makers. |
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