Decider: A fuzzy multi-criteria group decision support system

Ma, Jun; Lu, Jie; Zhang, Guangquan

doi:10.1016/j.knosys.2009.07.006

Cited by 153 publications

(74 citation statements)

References 15 publications

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“…Furthermore, the organization looked systematically into the longer-term future, sought for the technologies which have not been used in any energy sector or have been applied at the initial stage, but are likely to uphold the sustainable development by the four dimensions in Table 1. At last, four technologies were preselected as alternatives, which are 1 A : Pressurized Fluidized Bed Combustion, 2 A : Natural Gas Combined Cycle, 3 A : Fuel Cell/Turbine Hybrids and 4 A : Biomass Gasification. We solve the problem by the approach proposed in Section IV as follows.…”

Section: Application In Evaluations Of Energy Technologiesmentioning

confidence: 99%

“…Multi-criteria group decision making (MCGDM) problems which refer to evaluating, prioritizing or selecting among some available alternatives with respect to multi-criteria are very common in practice [1]. To express preference information "accurately" with higher confidence, linguistic terms are commonly used by decision makers (DM) or experts.…”

Section: Introductionmentioning

confidence: 99%

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Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making

Wang¹,

Xu²

2015

Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering

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Abstract-Linguistic variables usually take the form of a base term modified by a hedge in qualitative evaluations of multi criteria decision making problems. In this paper, the linguistic fuzzy rough set is presented to objectively model non-inclusive hedges, such as more or less and roughly, with semantics. Based on the predefined resemblance relation, hedges can be represented by some compact formulae whenever the linguistic term set is uniformed distributed or non-uniformed distributed. Then a corresponding multi criteria group decision making approach is supplied for potential application and illustrated by a problem of evaluating new energy technologies.

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Section: Application In Evaluations Of Energy Technologiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making

Wang¹,

Xu²

2015

Proceedings of the 2015 International Conference on Sustainable Energy and Environmental Engineering

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“…The work in [231] provides an excellent service adaptation environment that could be leveraged with this work and work in [211] to describe a capability based change management framework. Digging deeper into the alignment and decision support systems space, [136] Ma, Lu and Zhang have presented a logic based approach to multiparty/criteria decision making (MCDM) processes as well as an accompanying tool (Decider). This work considers the use of a rank knowledge system based on the aggregation of subjective (non-fact) and objective (sensor reading fact) knowledge.…”

Section: Alignmentmentioning

confidence: 99%

Strategic Alignment of Business Processes

Morrison

Ghose

Dam

et al. 2012

Service-Oriented Computing

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“…Yeh and Chang [1] suggested a hierarchical weighting method. Development of a decision support system based on a model by Ma et al [2] increased the level of overall satisfaction in the MCDM. Fan and Liu [3] introduced a method for group decision-making based on multi-granularity uncertain linguistic information.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Criteria Decision-Making Method Based Upon Type-2 Interval Fuzzy Sets For Auxiliary Systems Of A Ship s Main Diesel Engine

Balın¹

2017

ijisae

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A well-qualified ship engine conductor having an effective error detection system is required to find failure as a result of which action is immediately to be taken to prevent any possible engine impairments. Otherwise failures cumulatively can end up with crippling and irreversible profit loss. This paper proposes a fuzzy MADM methodology, which can help determine the most effective system for main diesel engine of a ship. A novel interval type-2 fuzzy MADM method is chosen for the study, resting on VIKOR, to assess and employ the failure detection of auxiliary systems of a marine diesel engine. The evaluation is conducted by various groups of experts. It has been presumed that this study will also work out as a useful future maintenance process reference for marine engineering operators. However, the importance of the using time effectively to determine and respond to such failures is also underlined within the study. The results reveal that a fuel system is categorized as the most effective alternative subsequently followed by a governor system, an air supply system, and lastly, a cooling system. The results are grounded on the opinions expressed by three decision-making groups who put the MDEAS alternatives according to twenty ably selected criteria.

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Decider: A fuzzy multi-criteria group decision support system

Cited by 153 publications

References 15 publications

Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making

Linguistic Fuzzy Rough Sets for Multi Criteria Group Decision Making

Strategic Alignment of Business Processes

A Multi-Criteria Decision-Making Method Based Upon Type-2 Interval Fuzzy Sets For Auxiliary Systems Of A Ship s Main Diesel Engine

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