A fuzzy TOPSIS model via chi-square test for information source selection

Tian, Jing; Yu, Dan; Yu, Bing; Ma, Shilong

doi:10.1016/j.knosys.2012.09.010

Cited by 29 publications

(10 citation statements)

References 41 publications

(54 reference statements)

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“…Some researchers have demonstrated that the chi-square measure provides an advantage with respect to discrimination and evaluation (Tian J et al 2013;Fragos K et al 2008). Therefore, an improved method is presented to compute the distance between two triangular fuzzy numbers based on the modified geometrical distance and chi-square measure: (18) and (19), respectively:…”

Section: Fuzzy-topsismentioning

confidence: 99%

Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability

Zhao

2015

Journal of Cleaner Production

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Section: Fuzzy-topsismentioning

confidence: 99%

Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability

Zhao

2015

Journal of Cleaner Production

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“…Behzadian et al [28] conducted a state-of-the-art literature review on TOPSIS research. Tian et al [32] developed fuzzy TOPSIS model via chi-square test for information source selection. In this paper, we proposed a new extended TOPSIS method with weighted possibilistic mean values to solve partner selection problem of a VE.…”

Section: An Extended Topsis Approach With Weighted Possibilistic Meanmentioning

confidence: 99%

Partner Selection in a Virtual Enterprise: A Group Multiattribute Decision Model with Weighted Possibilistic Mean Values

Lin

2013

Mathematical Problems in Engineering

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This paper proposes an extended technique for order preference by similarity to ideal solution (TOPSIS) for partner selection in a virtual enterprise (VE). The imprecise and fuzzy information of the partner candidate and the risk preferences of decision makers are both considered in the group multiattribute decision-making model. The weighted possibilistic mean values are used to handle triangular fuzzy numbers in the fuzzy environment. A ranking procedure for partner candidates is developed to help decision makers with varying risk preferences select the most suitable partners. Numerical examples are presented to reflect the feasibility and efficiency of the proposed TOPSIS. Results show that the varying risk preferences of decision makers play a significant role in the partner selection process in VE under a fuzzy environment.

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“…Therefore, this research proposes a novel extension of positive and negative ideal solutions of TOPSIS method by aggregation based on subjective fuzzy attributes of the worker. There are approaches for setting ideal solution by aggregating individual decision making as group decision [15], [16]. Although consensus for appropriate decision making can be improved by including individual decisions as group decision, the proposed approach does not require multiple decisions because the ideal solution in interruption is computed based on the subjective attributes of workers.…”

Section: Proposed Approachmentioning

confidence: 99%

Intelligent Decision Support for Business Workflow Adaptation due to Subjective Interruption

2013

APH

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Interruption is occurred by partial participation of workflows with adding new activity to a worker. A concerned worker to the interrupted workflow must restructure task assignment to improve consumed operating time by interruption. An opportunity of decision making is occurred to the workers to select appropriate tasks. However, preassignment of tasks to workers includes an expectation of superior decision maker to a training of an inexperienced worker. In order to avoid overmuch improvement to the interrupted workflow, the alternatives for shortening operating time of tasks is computed by TOPSIS method. Although positive ideal solution and negative ideal solution in conventional TOPSIS method are based on objective attributes, subjective completion time of pre-assigned tasks that are positive ideal solution in this model is depending on subjective attributes of the worker. Therefore, this research proposes a novel extension of positive and negative ideal solution of TOPSIS method by aggregating based on subjective fuzzy attributes of the worker and objective attributes of tasks. The approach is examined on simple case study showing that the work is promising on providing solution to handle interruption on carried work in runtime.

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A fuzzy TOPSIS model via chi-square test for information source selection

Cited by 29 publications

References 41 publications

Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability

Evaluating the performance of thermal power enterprises using sustainability balanced scorecard, fuzzy Delphic and hybrid multi-criteria decision making approaches for sustainability

Partner Selection in a Virtual Enterprise: A Group Multiattribute Decision Model with Weighted Possibilistic Mean Values

Intelligent Decision Support for Business Workflow Adaptation due to Subjective Interruption

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