Sellers in e-marketplaces: A Fuzzy Logic based decision support system

Kolomvatsos, Kostas; Anagnostopoulos, Christos; Hadjiefthymiades, Stathes

doi:10.1016/j.ins.2014.03.052

Cited by 9 publications

(20 citation statements)

References 58 publications

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“…That is, the way and order in which information is displayed can be determined strategically to influence the choice behavior of the DMs [38,13]. Choice manipulation instruments range from standard framing effects [49,28] to information display and signaling strategies when searching online [19,30,32,10,16]. In this latter case, the ORR criterion can be modified and adapted to account for reputation and trust in sequential information acquisition environments.…”

Section: Resultsmentioning

confidence: 99%

“…These recommendations involve the description of a series of product characteristics by unknown third parties to the DM. Absent credibility and trust considerations [19,30], the DM must choose which one among the recommendations available to follow. (c) Finally, a similar approach must be considered when deciding what project to undertake or how to proceed with one already being developed based on the different descriptions provided by third parties [37,47].…”

Section: Contributionmentioning

confidence: 99%

See 1 more Smart Citation

An ordinal ranking criterion for the subjective evaluation of alternatives and exchange reliability

Tavana

Caprio²,

Santos‐Arteaga

2015

Information Sciences

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Section: Resultsmentioning

confidence: 99%

Section: Contributionmentioning

confidence: 99%

An ordinal ranking criterion for the subjective evaluation of alternatives and exchange reliability

Tavana

Caprio²,

Santos‐Arteaga

2015

Information Sciences

View full text Add to dashboard Cite

“…This section considers the fuzzy rules system for the reasoning process of a seller, which indicates if the seller should accept/reject the buyer's offer introduced by Kolomvatsos et al . These authors define a decision support mechanism for sellers, in which the proposed decision making mechanism is based on fuzzy logic (FL) to handle uncertainty in the negotiation process.…”

Section: Application To a Real‐life Examplementioning

confidence: 99%

“…The values for the input and output variables are linguistic expressions defined in the fuzzy sets

T D

B E

P D

N B

A \in {L o w, M e d i u m, H i g h}

throughout trapezoidal fuzzy sets (see Ref. for more details).…”

Section: Application To a Real‐life Examplementioning

confidence: 99%

Multi-adjoint Relation Equations: A Decision Support System for Fuzzy Logic

Cornejo

Díaz-Moreno

Medina

2017

Int. J. Intell. Syst.

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Fuzzy relation equations (FRE) are an important decision support system (DSS), for example, in fuzzy logic. FRE have recently been extended to a more general framework, called multiadjoint relation equations (MARE). This paper shows MARE as a fundamental DSS in multi‐adjoint logic programming. For that purpose, multi‐adjoint logic programs will be interpreted as a MARE, and the solvability of them will be given in terms of concept lattice theory. Furthermore, two approximations (optimistic and pessimistic approximations) of unsolvable equations will be obtained from a multiadjoint object‐oriented concept lattice. Finally, a real‐life example will be studied.

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“…This imprecision that T1FSs represent is in the form of membership functions, or linguistic values, and it is a powerful tool which is still widely used, for example, in synthetic aperture radar image change detection (Gong, Su, Jia, & Chen, 2014), conditional density estimation by using probabilistic fuzzy systems (van den Berg, Kaymak, & Almeida, 2013), predictive control of direct methanol fuel cells (W. Yang, Feng, & Zhang, 2014), fuzzy clustering via a granular gravitational technique (Sanchez, Castillo, Castro, & Melin, 2014), a support system for sellers in e-marketplaces (Kolomvatsos, Anagnostopoulos, & Hadjiefthymiades, 2014), image segmentation (Othman, Tizhoosh, & Khalvati, 2014), distributed filtering in sensor networks (Su, Wu, & Shi, 2013), indoor localization using WiFi (Garcia-Valverde et al, 2013), etc. Research in T1FLS is still ongoing despite the existence of more advanced FS representations (IT2FS and GT2FS), partly due to the fact that not all decision making situations require such advanced representations and T1FS…”

Section: Introductionmentioning

confidence: 99%