I
I. Deha Er
Researcher at Istanbul Technical University
Publications - 9
Citations - 654
I. Deha Er is an academic researcher from Istanbul Technical University. The author has contributed to research in topics: Personnel selection & Fuzzy logic. The author has an hindex of 8, co-authored 9 publications receiving 611 citations.
Papers
More filters
Journal ArticleDOI
Application of fuzzy extended AHP methodology on shipping registry selection: The case of Turkish maritime industry
TL;DR: The main aim of this paper is to structure a practical decision support mechanism on ensuring multiple criteria analysis of shipping registry selection by utilizing Fuzzy AHP methodology, based on Chang's extent analysis, to model theShipping registry selection.
Journal ArticleDOI
Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: The case of Turkish shipyards
TL;DR: This paper investigates a systematic evaluation model on docking facilities of shipyards to provide a decision aid for technical ship managers and to perform this responsibility in an efficient manner.
Journal ArticleDOI
Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network
TL;DR: A hybrid approach on ensuring the competitiveness requirements for major Turkish container ports by utilizing fuzzy axiomatic design (FAD) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methodologies to manage strategic decision-making with incomplete information is proposed.
Journal ArticleDOI
An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market
TL;DR: This paper extends the Quality Function Deployment (QFD) principles towards shipping investment process via the originally proposed Ship of Quality (SoQ) framework, and the Fuzzy Analytic Hierarchy Process (FAHP) and FBuzzy Axiomatic Design (FAD) algorithms are integrated into the SoQ frame in order to involve quantitative outcomes into the shipping investment decisions.
Journal ArticleDOI
Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions
TL;DR: F fuzzy integrated multi-stages evaluation model (FIMEM) under multiple criteria is proposed in order to manage the academic personnel selection and development processes in Maritime Education and Training (MET) institutions.