2019
DOI: 10.1016/j.matpr.2019.05.186
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AHP based on Triangular Intuitionistic Fuzzy Number and its Application to Supplier Selection Problem

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Cited by 14 publications
(7 citation statements)
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“…Through normalized value matrix V obtained above, the forward index value sequence V + of the j-th index could be obtained as: (13) where, (14) In the same way, the reverse index value sequence Vof the j-th evaluation index could be obtained as: (15) where, (16) Therefore, the fuzzy distance between the i-th index and the forward index value sequence V + with respect to the j-th index can be described as . , ∼ "# ⇔ # .…”
Section: Fuzzy Distance Calculation Model For Online English Teaching Effect Evaluationmentioning
confidence: 99%
See 1 more Smart Citation
“…Through normalized value matrix V obtained above, the forward index value sequence V + of the j-th index could be obtained as: (13) where, (14) In the same way, the reverse index value sequence Vof the j-th evaluation index could be obtained as: (15) where, (16) Therefore, the fuzzy distance between the i-th index and the forward index value sequence V + with respect to the j-th index can be described as . , ∼ "# ⇔ # .…”
Section: Fuzzy Distance Calculation Model For Online English Teaching Effect Evaluationmentioning
confidence: 99%
“…Although existing evaluation index systems and evaluation methods do have certain instructive functions for assessing the effect of online English teaching, their analysis angles are different, and the influencing factors are dynamic and in constant developing. Out of these concerns, this paper attempts to build a set of novel EISs for the target problem and gives a quantitative analysis on it based on the theories and principles of fuzzy systems [16][17].…”
Section: Introductionmentioning
confidence: 99%
“…where, ( ) represents the optimal value of the j-th evaluation index, ( ) is the left deviation of ( ), RI ( ) is the right deviation of ( ). Then for the j-th evaluation index of public PE, the fuzzy distance Dij between the i-th evaluation object and the optimal triangular fuzzy number [23][24][25][26] is:…”
Section: Fuzzy Evaluation Process Of Public Pementioning
confidence: 99%
“…Fuzzy AHP mampu mengatasi ambiguitas pendapat manusia mengenai pengambilan keputusan dengan lebih baik dibanding metode AHP tradisional (Mardani et al, 2016). AHP tidak mampu menggabungkan ketidakpastian dan ketidakjelasan pengambil keputusan, oleh karena itu AHP diselesaikan dengan fungsi keanggotaan bilangan fuzzy untuk mengatasi ketidakjelasan dan ketidakpastian tersebut (Nirmala dan Uthra, 2019). Selain itu, pendekatan fuzzy AHP memberikan lebih banyak fleksibilitas untuk menangani variasi penilaian dari pembuat keputusan (Zarghami et al, 2018).…”
Section: Pendahuluanunclassified