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Numerous multicriteria decision-making (MCDM) methods have been proposed to support decision making: the evaluation and selection of alternatives based on multiple criteria. This study proposes a new three-factor fuzzy information channel model by expanding a two-factor fuzzy information channel model for MCDM problems. The two-factor fuzzy information channel model estimates criteria selection ratios for two selection criteria: one quantitative crisp criterion and one qualitative fuzzy criterion. We propose a three-factor fuzzy information channel model (model 1, weightless) to handle three criteria by increasing the number of qualitative fuzzy criteria to two. Next, we propose a weighted fuzzy information channel model (model 2, weighted) that considers the subjective weights of decision makers (DMs) for criteria. The proposed models resolve MCDM problems based on randomness–fuzziness entropy using both entropy for randomness and entropy for fuzziness, and can estimate the selection ratios of criteria based on a simple model. We study the performance of the proposed models by comparing them with the fuzzy multiobjective linear model, which is another MCDM method, using a practical supplier selection

Three-factor Fuzzy Information Channel Model Representing Subjective Judgments Using Entropy that Integrates both Randomness and Fuzziness