Cengiz Kahraman

Cengiz Kahraman
Istanbul Technical University · Department of Industrial Engineering

Prof.

About

778
Publications
185,452
Reads
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22,624
Citations
Introduction
*Vice Dean of Management Faculty: 2004-2007 *Head of Industrial Engineering Department: 2010-2013 *Member of Editorial Board in 20 international journals
Additional affiliations
October 2012 - May 2017
Kadir Has University
Position
  • Lecturer
January 2005 - May 2017
Bahçeşehir University
Position
  • Lecturer
April 1997 - September 2010
Hava Harp Okulu
Position
  • Lecturer

Publications

Publications (778)
Book
This book offers a comprehensive reference guide for the theory and practice of intelligent and fuzzy techniques in Aviation 4.0. It provides readers with the necessary intelligent and fuzzy tools for Aviation 4.0 when incomplete, vague, and imprecise information or insufficient data exist in hand, where classical modeling approaches cannot be appl...
Article
Picture fuzzy sets (PFSs) are one of the most promising extensions of ordinary fuzzy sets with three parameters, namely positive membership, neutral membership, and negative membership, for defining the membership status of an element to a set. CRiteria Importance Through Intercriteria Correlation (CRITIC) & REGIME methods are recently developed mu...
Article
Full-text available
Energy system investments and policies have a significant role in maintaining sustainable development. The ability to forecast energy demands, energy obtained from renewable resources and their impacts on the environment and society is extremely important for an effective energy planning and policy making. However, it is a complicated issue requiri...
Article
Multi-criteria decision-making (MCDM) methods used in solving real-life problems are very useful tools as they allow the evaluation of many qualitative and quantitative factors simultaneously. An increasing number of new methods and approaches are being introduced into the literature to overcome different MCDM problems with many proportional and co...
Article
Clustering structures are one of the most important aspects of complex networks. Minimum spanning tree (MST), the tree that connects all vertices with minimum total weight, can be considered as a fundamental unit of original weighted graphs. There are different types of algorithms that identify clusters in a network, but the existing theories and a...
Article
Risk assessment takes place depending on the expertise and subjective linguistic assessments of experts. Expert judgements are collected via a questionnaire or an interview including qualitative data. Pessimistic or optimistic status of experts can affect their perceptions on risk. Furthermore, expert judgments are affected by questions’ structure...
Article
Full-text available
Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision-making (MCDM) method to select the most efficient vendor-supplied software package which is used in all business activities for planning or designing, orga...
Article
This study exploits the tremendous theory of ELimination and Choice Expressing REality (ELECTRE) method to enhance the number of outranking approaches for the ground-breaking and recent extension of fuzzy set theory, namely, complex spherical fuzzy set. The noticeable edge of this striking model is its wider and flexible structure that empowers it...
Article
With the increasing product variety, companies aim to become better than their competitors by providing a superior product developed with a customer–oriented product design approach and a quality strategy. In order to achieve this, companies should well understand customer expectations and quickly be able to convert these expectations to technical...
Article
Most countries intending to replace traditional energy sources with renewable energy sources have started to make major investments in this field. Since renewable energy is a sector requiring large amount of investment costs, evaluation of investment risks are extremely important to make the best investment decisions. However, as risk assessment is...
Poster
Full-text available
INFUS 2022 International Conference July 19-21, 2022 Izmir Turkey
Presentation
Full-text available
International Conference on Intelligent and Fuzzy Systems 2022 July 19-21, 2022 Izmir Turkey
Chapter
Aviation 4.0 is related to the design of cyber-physical systems which can support humans by aviation information systems and by helping them to make decisions and to complete tasks autonomously. Within aviation 4.0 context, robotics, augmented reality, radio frequency identification, and internet of things are some components of fundamental concept...
Chapter
The concept of Industry 4.0 arose in Germany in 2011 and spread to other countries. Industry 4.0 refers to a strategic step that was introduced by the German government seeking ways to change industrial manufacturing through digitalization and the development of new technologies. It introduced the world with new technologies such as cybersecurity,...
Chapter
When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets have been extended to many new types of fuzzy sets such as intuitionistic fuzzy sets, neutrosophic sets, and picture fuzzy sets. Spherical fuzzy sets is an exten...
Chapter
EXtension of the PROMethee (EXPROM) methods were first introduced in 1991. These methods try to find a solution for ranking the alternatives more accurately using the available information. EXPROM-I method performs a partial ranking of alternatives whereas EXPROM-II does a full ranking of the alternatives. Vague and imprecise data of multi-criteria...
Chapter
The use of renewable energy, which is more encouraged together with increasing sustainability and environmental concerns, highlighted the issue of energy technology transformation. Social acceptance is a highly significant component of renewable energy technology implementation since it can affect the time and effort required to implement a policy...
Book
This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual proces...
Article
VIKOR method being one of the frequently used Multi-Criteria Decision Making (MCDM) methods, is based on the distances of alternatives to positive and negative ideal solutions, and presents compromising solutions. AHP is another MCDM method dividing the big problem into small and manageable problems through pairwise comparisons of criteria and alte...
Article
In Quality function deployment (QFD) approach, customers tend to express their needs in linguistic terms rather than exact numerical values and these needs generally contain vague and imprecise information. To overcome this challenge and to use the method more effectively for complex customer-oriented design problems, this paper introduces a novel...
Article
Present worth (PW) analysis is an important technique in engineering economics for investment analysis. The values of PW analysis parameters such as interest rate, first cost, salvage value and annual cash flow are generally estimated including some degree of uncertainty. In order to capture the vagueness in these parameters, fuzzy sets are often u...
Chapter
Abstract. Assigning alternatives to predefined ordered categories under multicriteria conditions is the essence of multi-criteria sorting problematic. The family of fuzzy multi-criteria sorting models with the common name FTOPSIS-Sort are introduced based on the fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS with...
Article
Innovations in technology emerged with digitalization affect all sectors, including supply chain and logistics. The term “digital supply chain” has arisen as a relatively new concept in the manufacturing and service sectors. Organizations planning to utilize the benefits of digitalization, especially in the supply chain area, have uncertainties on...
Article
Spherical fuzzy sets (SFSs) have recently become more popular in various fields. It was proposed as a generalization of picture fuzzy sets and Pythagorean fuzzy sets in order to deal with uncertainty and fuzziness information. The similarity measure is one of the beneficial tools to determine the degree of similarity between objects. It has many cr...
Poster
Full-text available
Symmetry Journal Special Issue
Poster
Full-text available
The Journal of Risk Analysis and Crisis Response aims to promote the development of science and technology in the field of risk analysis and crisis response, to provide a forum for sharing theory and applications in this field, and for exchanging research findings and case studies. The journal will stimulate intellectual debate on risk and crisis,...
Article
The recently developed three-dimensional spherical fuzzy sets are an extension of the ordinary fuzzy sets, which are effective in handling uncertainty and quantifying expert judgments. The similarity measure is one of the beneficial tools to define the degree of similarity between two objects. It has many vital implementations such as medical diagn...
Conference Paper
VIKOR method is used to solve a variety of MCDM problems in-cluding a variety of criteria that can be conflicting and noncommensurable. This method is based on the distances of alternatives to positive and negative ideal solutions, and provides compromising solutions. Decision makers generally prefer to evaluate the alternatives with respect to the...
Poster
Full-text available
Intelligent and Fuzzy Systems: Emerging Conditions and Digital Transformation Emerging conditions such as pandemic, wars, natural disasters and various high technologies force us for significant changes in our business and social life. Pandemic caused all of us to live under quarantine for a certain period of time and serious restrictions in our bu...
Chapter
The strategy of the milk-run vehicle routing problem (VRP) is to design networks for material flow among the points in the supply chain while minimizing the total cost and the number of vehicles used. In addition to the theoretical VRP model, products may need to be delivered at specific time intervals and these restrictions affect the cost and the...
Conference Paper
With the adoption of new generation technologies, developments in quality management, which is an integral part of Industry 4.0, are increasing rapidly. The digitalization process in quality management provides significant advantages for enterprises with both an increase in performance and a reduction in costs. Digital quality management, which inc...
Article
Full-text available
This research article is devoted to present a decision-making approach pertaining the excellent tendencies of traditional TOPSIS method under the broader environment of complex spherical fuzzy sets (CSFSs). TOPSIS method is regarded as one of the authentic decision-making strategies that follows the scheme to point out the alternative acquiring fav...
Chapter
The REGIME method, initially introduced by Hinloopen et al. [1, 2] is based on paired comparison methods which are easy to understand and uses qualitative data only in a mathematically justifiable way. The computational steps of the method are simple and can be easily apply to various complex problems. Classical REGIME techniques uses crisp numbers...
Article
Process capability analysis (PCA) is a tool for measuring a process’s ability to meet specification limits (SLs), which the customers define. Process capability indices (PCIs) are used for establishing a relationship between SLs and the considered process’s ability to meet these limits as an index. PCA compares the output of a process with the SLs...
Article
A circular intuitionistic fuzzy set (CIFS) recently introduced by Atanassov as a new extension of intuitionistic fuzzy sets is represented by a circle whose radius is r and whose center is composed of membership and non-membership degrees. The idea is similar to type-2 fuzzy sets, which are based on the fuzziness of membership functions with a thir...
Preprint
Full-text available
Software selection process for many organizations is a challenging task to conduct their business activities and sustain competitiveness. This paper develops a new hybrid multi-criteria decision making (MCDM) method to select the most effiecient vendor-supplied software package which is used in all business activities for planning or designing, org...
Article
Both national and international encouragements for research and development (R&D) projects have been growing worldwide. Since R&D projects includes various uncertainties related to time, technology, finance, and knowledge, risk management studies are highly significant for the success of these projects. In risk management, all of the potential acti...
Article
Milk-run is a delivery method allowing to move small quantities of a large number of different items with predictable lead times from various suppliers to a customer. The main goal is to minimize the transportation cost by minimizing the travel distance and by maximizing vehicle capacities. The effects of uncertainties in arrival times of vehicles...
Article
Autonomous vehicles are one of the emergent advances of the new technology era that has the prospective to redesign transportation structures. Understanding and measuring the limitations of adopting autonomous vehicles and selecting the best autonomous vehicle based on different aspects is crucial for enhancing the adoption process. Defining the cr...
Article
Linguistic terms are quite suitable to make evaluations in multiple criteria decision making problems since humans prefer them rather than sharp evaluations. When linguistic evaluations are used in the decision matrix instead of exact numerical values, fuzzy set theory can capture the vagueness in the linguistic evaluations. Ordinary fuzzy sets hav...
Article
Companies started to determine their strategies based on intelligent data analysis due to stagey enhance data production. Literature reviews show that the number of resources where demand estimation, location analysis, and decision-making technique applied together with the machine learning method is low in all sectors and almost none in the shoppi...
Article
Effective energy management has become more prominent with the population growth and increasing industrialization. In order to provide an effective planning, it is important to use all kinds of renewable energy sources efficiently. The main renewable energy sources are solar, geothermal, biomass, hydropower and wind. Agricultural, forest, animal an...
Article
Full-text available
The membership function of a general type-2 fuzzy set is three-dimensional in order to incorporate its vagueness through the third dimension. Similarly, Circular intuitionistic fuzzy sets (CIFSs) have been recently introduced by Atanassov (2020) as a new extension of intuitionistic fuzzy sets, which are represented by a circle representing the vagu...
Article
Full-text available
The COVID-19 outbreak, which emerged in China and continues to spread rapidly all over the world, has brought with it increasing numbers of cases and deaths. Governments have suffered serious damage and losses not only in the field of health but also in many other fields. This has directed governments to adopt and implement various strategies in th...
Article
Hesitant Pythagorean fuzzy sets have remarkable theoretical and practical features, which derive from their role as a generalization of Pythagorean fuzzy sets that embeds the benefits of hesitation. Their advantages motivate us to extend existing decision-making methods to the case where data and information are in the form of several values. We pr...
Article
Modeling human thoughts is pretty hard because of the difficulty of representation them by 0-1 logic. Artificial intelligence techniques such as neural networks, soft computing, machine learning, etc. are used for analyzing and modeling complicated problems. It can be easily seen that artificial intelligence techniques in engineering applications a...
Chapter
Humanoid robot is a research area in robotics. Humanoid robots are shaped in order to resemble human shape. These robots are used for different purposes in different industries such as health, space, education and manufacturing. In this chapter, we try to summarize the present status of humanoid robots in the world.
Chapter
Metaheuristics are designed to find, generate, or select a heuristic that can provide a sufficiently good solution to a complex optimization problem, especially with incomplete, imperfect, vague and imprecise information. Fuzzy set theory is an excellent tool to capture this kind of information. Metaheuristics can be used as important building bloc...
Chapter
Humanoid robots will be very usable in human society to improve the quality of human life in the future. They can be used for assisting the sick and elderly people, and dirty or dangerous jobs. Human behaviors are mostly emotional and based on the degrees of feelings such as being strongly sad or being slightly happy. Fuzzy sets theory can be very...
Chapter
Humanoid robots generated by inspiring by human appearances and abilities have become essential in human society to improve the quality of their life. All over the world, there have been many researchers who have focused on humanoid robots to develop their capabilities. Generally, humanoid robot systems include mechanisms of decision making and inf...
Article
The purpose of this study is to develop an extension of CODAS method using picture fuzzy sets. In this respect, a new methodology is introduced to figure out how picture fuzzy numbers can be applied to CODAS method. COmbinative Distance-based Assessment (CODAS) is a new MCDM method proposed by Ghorabaee et al. Picture fuzzy sets (PFSs) are a new ex...
Article
Due to the uncertainty and vagueness, ambiguity and subjectivity of the information in an intricate decision-making environment, the assessment data specified by experts are mostly fuzzy and uncertain. As an extension of Pythagorean fuzzy sets (PyFSs) and picture fuzzy sets (PFSs), spherical fuzzy sets (SFSs) are used frequently for presenting fuzz...
Article
The main objective of this study is to set up the foundations of a new model, namely, complex spherical fuzzy (CSF) model that is highly proficient to express the two dimensional ambiguous information. The absence of neutral membership in complex Pythagorean fuzzy sets to express abstinence part of opinion and limitation of spherical fuzzy sets to...
Article
Spherical fuzzy sets are the latest extension of the ordinary fuzzy sets. The main characteristic of the spherical fuzzy sets is satisfying the condition that the squared sum of the membership, nonmembership, and hesitancy degrees must be at least zero and at most one. In this research, by extending the classical linear assignment method to bi-obje...
Chapter
The Bonferroni Mean (BM) which was introduced by Bonferroni has been extensively applied in Multi-Attribute Group Decision-Making (MAGDM) and support system problems because of its usefulness in the aggregation techniques. One of the most important and distinguishing characteristic of the BM is its capability to capture the interrelationship betwee...
Chapter
TOPSIS method is a distance based multi-criteria decision making tool which is one of the most used methods. It has been extended by using each of the recently proposed fuzzy set types such as type-2 fuzzy TOPSIS, hesitant fuzzy TOPSIS, intuitionistic fuzzy TOPSIS, and Pythagorean fuzzy TOPSIS. As a new extension of Picture fuzzy sets, the emerging...
Chapter
Quality Function Deployment (QFD) is a well-known structured approach meeting customer needs through technical applications. Customer requirements (CRs) for a delivery drone design are first determined and they are tried to be satisfied by design requirements (DRs) in this chapter. Uncertainty in this process is handled by fuzzy set theory. One of...
Chapter
Health-care service quality is the core of the medical institution’s management. However, the measurement of service quality is difficult by classical measurement approaches. The fuzzy set theory can capture this difficulty through its linguistic approaches. The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean...
Chapter
After the introduction of ordinary fuzzy sets, new extensions have appeared one by one in the literature. Among these extensions, hesitant fuzzy sets are a different extension from the others with more than one membership degree for an element. Intuitionistic fuzzy sets, Pythagorean fuzzy sets, Fermatean fuzzy sets, q-rung Orthopair fuzzy sets are...
Chapter
Defects control charts are one of the attributes control charts which are constructed based on the number of defects on a product or in an inspection unit. Since the term ‘defect’ can be vague due to the subjective decisions of the quality control operator, it cannot be precisely defined. In such cases, fuzzy set theory can be used to add more info...
Chapter
Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by im...
Chapter
Nowadays, with the increase in technological developments and the widespread use of the internet, large amounts of data are produced from many sources, revealing huge and heterogeneous data difficult to process. Therefore, big data having an enormous volume and high velocity of data with complex structures have recently drawn substantial interest f...
Chapter
In today’s economy, companies have to constantly develop new strategies and have to choose whether to expand into new markets, stabilize in or exit from the existing markets. The entry in to the new markets is a complex strategic decision; it does not only involve the entry mode decision but also in some occasions involve partner selection. When th...
Chapter
Full-text available
Analysis of variance is an important method in exploratory and confirmatory data analysis when explanatory variables are discrete and response variables are continues and independent from each other. The simplest type of analysis of variance is one-way analysis of variance for comparison among means of several populations. In this paper, we extend...
Chapter
Fuzzy sets and its extensions are widely used to determine membership of an element using different functions to decrease the effect of uncertainty. In this paper, intuitionistic fuzzy Z-numbers that are a new extension of fuzzy sets are proposed for the first time. First, fuzzy Z-numbers and intuitionistic fuzzy numbers are determined as prelimina...
Chapter
As mobile devices are, highly adopted, indoor location tracking systems started to emerge. Companies can use these indoor location-tracking systems to better understand their customers and get an insight into their intentions and needs. In this paper, different indoor location tracking systems are evaluated. Since there are various evaluation persp...
Chapter
Design for six sigma (DFSS) is a structured approach for designing new products, processes and/or services or redesigning the existing ones. It builds quality into the product during the development and ensures the customer expectations are understood, met, or exceed. In DFSS, variation is aimed to be minimized by applying the techniques of the six...
Chapter
National and international supports for research and development projects have been increasing over the world. Risk management has a vital impact on the success of these projects. In risk management, all of the potential actions that may negatively affect the processes or outputs of a project should be identified and their negative effects should b...
Chapter
Beacon technology enables applications that provide location-based services such as notifications, tracking, and navigation via smart mobile devices. One of the most commonly adopted business models based on beacon technology is location-based advertisements. In this model, target customers are defined, and the most appropriate advertisement is sen...
Chapter
Energy investments are highly risky due to the uncertainties of the energy market. Over the past two decades, the usage of wind energy has been increased dramatically. Appropriate wind energy investment valuations are vital for both the public and private sectors. The fluctuations in the energy prices, the uncertainties in the production levels and...
Chapter
A metaheuristic is a high-level problem-independent algorithmic framework that provides a set of guidelines or strategies for developing heuristic optimization algorithms, reaching the optimum solution in the solution space more quickly by using efficient searches in a high-level work environment. There are various metaheuristics algorithms in the...
Chapter
Fuzzy sets extensions have been often used in the modeling of problems including vagueness and impreciseness in order to better define the membership functions together with the hesitancy of decision makers. More than 20 different extensions of ordinary fuzzy sets have appeared in the literature after the introductions of ordinary fuzzy sets by Zad...
Book
This book offers a comprehensive reference guide for modeling humanoid robots using intelligent and fuzzy systems. It provides readers with the necessary intelligent and fuzzy tools for controlling humanoid robots by incomplete, vague, and imprecise information or insufficient data, where classical modeling approaches cannot be applied. The respect...
Book
This book gathers the most recent developments in fuzzy & intelligence systems and real complex systems presented at INFUS 2020, held in Istanbul on July 21–23, 2020. The INFUS conferences are a well-established international research forum to advance the foundations and applications of intelligent and fuzzy systems, computational intelligence, and...
Article
Full-text available
Spherical fuzzy sets theory is useful and advantageous for handling uncertainty and imprecision in multiple attribute decision-making problems by considering membership, non-membership, and indeterminacy degrees. In this paper, by extending the classical linear assignment method, we propose a novel method called the spherical fuzzy linear assignmen...
Article
Due to the increasing awareness of environmental, social and economic factors, solar photovoltaic (PV) system planning requires strategic decision making process for socio-economic development in many countries. The main objective of this paper is to propose a new Multi-Criteria Decision Making (MCDM) approach that is flexible and practical to the...
Article
The catastrophes due to widespread outbreaks create a long-standing distraction and have an accelerating transmission. The uncontrolled outbreaks cause not only health-related problems but also supply chain related problems. The outbreak caused by the coronavirus (COVID-19) shows how vulnerable the Healthcare systems and the supporting systems such...
Article
This study presents a multi-experts multiple criteria decision making approach for quantitatively evaluating social sustainable development factors. The proposed model which integrates Z-fuzzy numbers and fuzzy AHP enables to weight and rank social sustainable development factors, which may give guidance to many sustainable development researches....
Article
Location-Based Systems enable novel business models that can locate a person and send an action or message to him/her. One of the most commonly adopted location-based business models is location-based advertisements. Companies can send customized messages to target customers by using location-based ads. The model is promising since the conversion r...
Article
Failure mode and effects analysis (FMEA) is a structured approach for discovering possible failures that may occur in the design of a product or process. Since classical FMEA is not sufficient to represent the vagueness and impreciseness in human decisions and evaluations, many extensions of ordinary fuzzy sets such as hesitant fuzzy sets, intuitio...