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Titlebook: Intelligent and Fuzzy Systems; Intelligent Industri Cengiz Kahraman,Sezi Cevik Onar,Irem Ucal Sari Conference proceedings 2024 The Editor(s

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A New Mandatory-Optional Bipolar Model of Decision Making in a Fuzzy Environmentsnt is equated with fuzzy constraints on values of variables, fuzzy goals on values of performance functions, and a fuzzy decision which constitutes the aggregation of the fuzzy constraints and goals. The model provides a powerful conceptual and algorithmic basis for a multitude of decision making, o
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New Results on Extended Intuitionistic Fuzzy Index Matrices lot of other ones that do not exist in the standard case. Intuitionistic Fuzzy IM (IFIM) is a modification of the IM the elements of which are Intuitionistic Fuzzy Pairs (IFPs). Extended IFIMs (EIFIMs) are IFIMs whose indices of the rows and columns are evaluated by IFPs. Over IMs, IFIMs and EIFIMs
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Fuzzy Performance Measurement: A Literature Reviewrformance measurement is handled from two perspectives in the first group, effects of performance and factors affecting the organizational performance is analyzed. The second group focus on quantitative analysis which focus on tools and techniques which can be used in performance measurement. This p
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Evaluation of Business Intelligence Tools for the Logistics Sector with Hesitant Fuzzy Hybrid MCDM Monal efficiency, as they provide comprehensive data analysis capabilities that contribute to more informed and timely decisions. This study utilizes the critical task of selecting the most suitable BI tool for an e-commerce logistics company, focusing on assessing various alternatives, including ope
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Investigating Smart City Applications: A Case Study from İstanbuloting sustainable development. Smart city applications contribute to the deployment of comprehensive management strategy models that prioritize sustainability and agility as well as the use of technology. Smart city projects can facilitate create solutions to achieve the Sustainable Development Goal
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Fermatean Fuzzy TOPSIS Method Based on Prospect Theoryms. A generalized orthogonal fuzzy set is a Fermatean fuzzy set when the cubic sum of the degrees of affiliation and non-affiliation does not exceed 1. The Simple Fermatean fuzzy TOPSIS method addresses that decision makers are completely rational while making decisions, and applies the revised clos
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