Cengiz Kahraman

• Prof.
• Professor (Full) at Istanbul Technical University

One of the most recent innovations in the field of fuzzy sets has been continuous intuitionistic fuzzy sets (CINFUSs), where membership and non-membership degrees are defined by nonlinear functions, as a direct extension of intuitionistic fuzzy sets (IFSs). The membership and non-membership degrees of CINFUSs can account for uncertainty at every po...

2025年 第七届国际智能与模糊系统会议 以人为本、弹性和可持续行业中的人工智能 土耳其伊斯坦布尔 2025 年 7 月 29 日至 31 日 韋斯 亲爱的研究员， 第七届智能与模糊系统国际会议(INFUS 2025)由教授组织。 2025 年 7 月 29 日至 31 日，卡赫 拉曼和他的同事在土耳其伊斯坦布尔。 注册涉及 • 在 INFUS 2025 会议上发表一篇被接受的论文， • 在 Springer 论文集中发表一篇被接受的论文(8 页以内)(仅保证在 2025 年 5 月 15 日之前收 到注册)， • 参加会议的远程/现场培训课程， • 参加所有远程 INFUS 2025 会议科学会议， • 游览托普卡帕宫、大巴扎、香料市场和博斯普鲁斯海峡游船， • 会议袋和礼品， • 晚宴、...

2025年 第七届国际智能与模糊系统会议 以人为本、弹性和可持续行业中的人工智能 土耳其伊斯坦布尔 2025 年 7 月 29 日至 31 日 韋斯 亲爱的研究员， 第七届智能与模糊系统国际会议(INFUS 2025)由教授组织。 2025 年 7 月 29 日至 31 日，卡赫 拉曼和他的同事在土耳其伊斯坦布尔。 注册涉及 • 在 INFUS 2025 会议上发表一篇被接受的论文， • 在 Springer 论文集中发表一篇被接受的论文(8 页以内)(仅保证在 2025 年 5 月 15 日之前收 到注册)， • 参加会议的远程/现场培训课程， • 参加所有远程 INFUS 2025 会议科学会议， • 游览托普卡帕宫、大巴扎、香料市场和博斯普鲁斯海峡游船， • 会议袋和礼品， • 晚宴、...

2025年 第七届国际智能与模糊系统会议 以人为本、弹性和可持续行业中的人工智能 土耳其伊斯坦布尔 2025 年 7 月 29 日至 31 日 韋斯 亲爱的研究员， 第七届智能与模糊系统国际会议(INFUS 2025)由教授组织。 2025 年 7 月 29 日至 31 日，卡赫 拉曼和他的同事在土耳其伊斯坦布尔。 注册涉及 • 在 INFUS 2025 会议上发表一篇被接受的论文， • 在 Springer 论文集中发表一篇被接受的论文(8 页以内)(仅保证在 2025 年 5 月 15 日之前收 到注册)， • 参加会议的远程/现场培训课程， • 参加所有远程 INFUS 2025 会议科学会议， • 游览托普卡帕宫、大巴扎、香料市场和博斯普鲁斯海峡游船， • 会议袋和礼品， • 晚宴、...

The Chinese economy is one of the largest and most dynamic economies in the world. Over the past few decades, China has experienced rapid economic growth from agrarian to industrial powerhouse fueled by manufacturing, exports, and services. However, this rapid growth has also brought about challenges, including environmental issues like water conta...

One significant component of the sharing economy, which is expanding globally, is car sharing. In order to broaden their potential and marketing shares, service suppliers want to build more car sharing stations. In order to address the location selection challenge of car sharing stations, a new model is presented in this study that offers a conveni...

Performance measurement (PM) is a vital aspect of management, conducted periodically to assess the success or quality of a specific process or an organization. Performance encompasses both goals and relational models crucial for achieving those goals within a given time frame. From another perspective, performance measurement is about determining r...

The construction industry faces various challenges related to uncertainties in project bids and unstable pricing. These challenges include situations where uncertainties in bid documents can affect project pricing and performance. In order to resolve these uncertainties and clarify project requirements, risks and uncertainties within the document n...

The extensions of ordinary fuzzy sets are problematic because they require decimal numbers for membership, non-membership and indecision degrees of an element from the experts, which cannot be easily determined. This will be more difficult when three or more digits’ membership degrees have to be assigned. Instead, proportional relations between the...

The history of fuzzy sets can be traced back to the work of mathematician Lotfi A. Zadeh in the 1960s. Zadeh’s idea of “fuzzy sets” was a departure from the classical “crisp” set theory, which assumed that an element either belongs or does not belong to a set. Fuzzy set theory, on the other hand, allows for degrees of membership, which better captu...

Financial decision-making under uncertainty is a critical challenge for both investors and businesses. Traditional financial models typically assume that future cash flows and discount rates are deterministic, ignoring the inherent uncertainty in the real world. This chapter introduces the concepts of Fuzzy Risk-Adjusted Discount Rate (FRADR) and F...

Sensitivity analysis is a crucial quantitative tool in engineering economics for assessing the impact of variable changes on project feasibility and outcomes. Traditional sensitivity analysis, however, relies on precise numerical data, often inadequate for real-world scenarios characterized by uncertainty and imprecision. Fuzzy Sensitivity Analysis...

Present worth analysis is a widely used financial technique for evaluating investment projects by converting future cash flows into their present worths. However, traditional analysis fails to account for uncertainty and imprecision in expected cash flows. To address this, fuzzy net present worth (NPW) analysis incorporates fuzzy logic and arithmet...

Fuzzy Break-Even Analysis (FBEA) is an innovative approach to break-even analysis that addresses the limitations of traditional crisp-set models by embracing and managing uncertainty through fuzzy logic. In classical break-even analysis, decision-makers rely on precise values for costs, revenues, and sales volume to determine the break-even point....

This chapter explores potential research directions in the field of fuzzy investment analysis, highlighting emerging opportunities and addressing pertinent challenges. The analysis investigates the application of fuzzy sets and extensions in investment decision-making, emphasizing the need for robust methodologies to accommodate data limitations an...

In the domain of financial evaluation and decision-making, traditional financial metrics may not fully capture the complexities and long-term consequences of investment projects. To address this limitation, the Annual Worth Analysis (AWA) has emerged as a powerful technique that amalgamates temporal considerations, cash flows, and discounted cash f...

Investment decision-making, a complex process crucial for long-term success, demands a meticulous consideration of various criteria in the ever-evolving financial landscape. As traditional methods prove insufficient, Multi-criteria Decision-Making (MCDM) emerges as a vital framework, providing a holistic perspective by incorporating diverse factors...

Replacement analysis is rooted in the concept that it may be financially advantageous to retire equipment prematurely in comparison to its physical lifespan. This critical juncture for replacement, termed the economic life, is commonly determined through annual cash flow assessments. Traditional analyses employ deterministic predictions, which, how...

The phenomenon of decision-making holds paramount significance within human behavior, signifying the act of selecting a singular course of action from an array of available alternatives. Its indispensability is pervasive across personal, professional, and societal contexts, rendering it an object of study across diverse disciplines, encompassing ps...

Benefit/Cost Analysis (BCA) is the most used analysis in the comparison of investment alternatives after present worth analysis, annual worth analysis, and rate of return analysis. The analysis tries to calculate whether the benefits exceed the costs using a ratio. In this chapter, classical BCA will be extended using fuzzy set extensions: interval...

Capital budgeting involves choosing independent investment options with the goal of maximizing profits within a specified budget constraint. Real-life uncertainties are associated with parameters such as initial investment cost, annual cash flows, interest rates, and budget limits. These parameters can be characterized as ranges, and their affiliat...

This chapter presents an exploration of foundational concepts in the domain of uncertainty modeling through different types of fuzzy sets such as type-2 fuzzy sets, triangular interval type-2 fuzzy sets, simplified neutrosophic sets, and triangular fuzzy hesitant fuzzy sets. Algebraic operations, including addition, subtraction, multiplication, and...

In this chapter, we show how the classical terms of engineering economy can be handled under fuzziness. First, we extend the classical operations by using ordinary fuzzy sets, then, we present the other fuzzy extensions of the main engineering economy concepts such as intuitionistic fuzzy effective interest rate, picture fuzzy single payment presen...

The interactive group decision-making method with dual probabilistic linguistic term sets (DPLTSs) is talked about in this paper. The benefit of choosing DPLTSs is that they take into account both random and stochastic uncertainties at the same time. The DPLTSs are superior to hesitant fuzzy sets (HFSs), probabilistic HFSs, and probabilistic dual H...

INFUS 2024 6TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND FUZZY SYSTEMS JULY 16-18, 2024 CANAKKALE, TURKEY

CFP OF INFUS 2024

Green finance is a method of financing that supports investments with a positive impact on the environment, such as the acquisition of eco-friendly goods and services as part of sustainable development or the building of eco-friendly infrastructure. Green finance has started to occupy a very important place in the literature in recent years due to...

This research study keenly employs the ground-breaking theory of ELECTRE method in order to advance the literature with a more competent technique for the frequently implemented and incredibly practical model of spherical fuzzy sets. The eminent characteristics, broader approach and adaptable model of spherical fuzzy set empowers the proposed strat...

The food supply chain is a complex system that involves various stakeholders in producing, processing, transporting, storing, distributing, and selling food products. There are challenges such as food safety, traceability, sustainability, cost-effectiveness, and supply chain disruptions that need to be addressed. The Analytic Hierarchy Process (AHP...

The Analytic Hierarchy Process (AHP) has been extensively utilized in multi-criteria decision making. Fuzzy sets have been widely employed to extend it under vagueness and impreciseness. Recent extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, picture fuzzy sets, Pythagorean fuzzy sets, spherical fuzzy sets and neutrosophic sets...

Intuitionistic Fuzzy Sets with Ordered Pairs (IFSOP) are the recent extension of intuitionistic fuzzy sets by incorporating functional and dysfunctional points of view into the definition of membership functions. This paper extends the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method to the Intuitionistic Fuzzy TOPSIS...

Picture fuzzy (PF) sets show the expert’s opinion about an element’s membership or non-membership in the set, as well as the expert’s indeci- sion about the element’s membership in the set. Interval-valued PF sets (IVPFSs) offer more flexibility than single-valued PF sets in assigning the mentioned degrees. Picture fuzzy multi-criteria decision mak...

A family of fuzzy multi-criteria sorting models, FTOPSIS-Sort, as a fuzzy extension of Multi-Criteria Decision Analysis (MCDA) ordinary method TOPSIS, is introduced and analyzed. Models from this family differ by approaches to determining functions of fuzzy numbers (approximate computations, standard fuzzy arithmetic, and transformation method) and...

Introduced by Zadeh (1965), ordinary fuzzy sets theory (OFS) has been widely used in many fields to handle uncertainty. Zadeh represented ordinary fuzzy sets with singletons with some elements whose degrees of membership of each element to the set is defined as [0,1] and non-membership of the elements represented by the complement of the membership...

Spherical fuzzy sets (SFS) are recent extension of ordinary fuzzy sets, which are composed of three parameters whose squared sum is at most one. SFS are defined by discrete values of these three parameters and provide a larger assignment volume than picture fuzzy sets. We propose a non-linear continuous membership, non-membership, and/or hesitancy...

Effective results in business analysis projects depend on the prioritization of requirements. The literature provides several techniques for the prioritization process, it can be challenging due to the involvement of various stakeholders and conflicting criteria. To address this, multi-criteria decision making methods can be used to empower the pro...

Z fuzzy numbers are given by a restriction function and a reliability function to better define an ordinary fuzzy number. In this paper we propose LR fuzzy numbers in the definition of z-fuzzy numbers. Besides, the new extensions of ordinary fuzzy sets are used in the development of LR-type Z fuzzy numbers such as intuitionistic fuzzy LR type Z-num...

In this study, picture fuzzy sets are expanded using Z-fuzzy numbers that can model reliability information in addition to the restrictive judgments of experts. Then, the Analytic Hierarchy Process (AHP) method, which is one of the most commonly used multi-criteria decision making methods, is extended to the Picture Fuzzy Z-AHP method to create a m...

The earthquake supply chain management is crucial for minimizing causalities and increasing the effectiveness of relief logistics systems. It requires effective and efficient actions to maintain the support and restoration efforts. Under these conditions, the capacity to make knowledgeable decisions becomes essential to minimize the harmful consequ...

The need to sort alternatives according to ordered categories , especially in problems consisting of a large number of alternatives , makes it effective to use of multi-criteria sorting methods. A family of fuzzy multi-criteria sorting models FMAVT-Sort and FTOPSIS-Sort based on a fuzzy extension of MAVT and TOPSIS methods respectively and the thei...

United Nations formulated Sustainable Development Goals (SDG) in 2015, which are the collection of a set of objectives to provide a world to people with peace and prosperity now and in the future. 17 goals are identified as achievable targets in 2030 and they contain elimination of poverty, hunger, inequalities and improvement of health, education,...

Decomposed fuzzy sets are the resent extension of intuitionistic fuzzy sets by incorporating functional and dysfunctional points of views to the definition of membership functions. This paper extends the Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) method to the Decomposed Fuzzy TOPSIS (DF TOPSIS) method and applies it to...

Replacement analysis is based on the principle that it may be more economical to retirement of an equipment earlier than its physical life. This replacement time, called the economic life, is usually calculated by annual cash flow analysis. These calculations made with deterministic estimations in classical analyzes are not realistic because they d...

Modelling the reliability information in decision making process is an important issue to inclusively reflect the thoughts of decision makers. The Evaluation Based on Distance from Average Solution (EDAS) and Analytic Hierarchy Process (AHP) are frequently used MCDM methods, yet their fuzzy extensions in the literature are incapable of representing...

Bio-inspired computing whose examples can be found in artificial intelligence is a research method for solving problems using computer models based on the principles of biology and nature. Applications of bio-inspired computing involve genetic algorithms, neural networks, artificial immune systems, sensory networks, and others. These applications s...

Investment analysis is the process of choosing the most appropriate investment alternative that creates the highest profitability with minimal risk. Therefore, many analytic techniques have been proposed to the literature to minimize investment risks and maximize profits. Most of these methods are extended to fuzzy set theory and its extensions to...

Machines can model and improve the human minds capabilities through artificial intelligence. One of the most popular tools of artificial intelligence is fuzzy sets, which can capture and model the vagueness and impreciseness in human thoughts. This paper, first of all, introduces the recent extensions of ordinary fuzzy sets and then presents a lite...

The digitalization of the traditional technologies have facilitated humans globally as these technologies are not only time saving, modern, environment friendly but are economic as well. This study is concerned with the digitalization of the public transportation system in Istanbul to reduce the environmental pollution that is a big cause of differ...

A rough set approximates a subset of a universal set on the basis of some binary relation and is significant for the reduction of attributes of an information system. On the other hand, a Pythagorean fuzzy set provides information about the extent of truthness and falsity of a statement. Both these theories deal with different forms of uncertainty...

Risk adjusted interest rate (RADR) method and certainty equivalent (CE) method are the two popular methods used under risky conditions in the investment analysis. However, it should not be forgotten that there may be a vagueness in the estimation of risk factors. In this study, novel RADR and CE methods are extended for use under uncertainty by usi...

The striking theory of ELECTRE III approach, being a marvelous strategy to deal with pseudo criterion, prevails over the traditional variants of ELECTRE method and other decision-making approaches for veracious decision-making. The noticeable efficiency and broader space of complex Pythagorean fuzzy model make it more significant and dominant for m...

This study mainly aims to develop two effective and practical multi-criteria group decision-making approaches by taking advantage of the ground-breaking theory of PROMETHEE family of outranking methods. The presented variants of Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) method are acknowledged to address the compl...

Digital transformation (DT) is the integration of digital technology by transforming all manual and semi-manual processes of business into full digital processes. In this chapter we review the DT status of the business sectors automotive, energy, smart manufacturing, white goods, health, banking, tourism, insurance, education, smart cities, and tra...

Digital transformation is a concept that defines the process of finding solutions to social and sectoral needs with the integration of digital technologies, and accordingly the development and change of workflows and culture. Digital transformation includes many concepts such as virtual reality, augmented reality, drones, 3D printing, cloud, big da...

The automotive industry is one of the industries that adapts the fastest to digital transformation (DT) in the world because of its standard production process and mass production. It is the sector that needs digitalization the most in order to gain a competitive advantage and increase its production quality. This chapter focuses on the DT in autom...

When a decision maker is not sure in assigning a value for a pairwise comparison, he/she should assign a fuzzy value such as ‘between 3 and 4’ or ‘around 5’. These expressions can be represented by fuzzy numbers, which make the use of fuzzy AHP methods possible. Each new fuzzy set extension has caused new fuzzy AHP method to be developed by researc...

Digital transformation necessitates fundamental changes in business processes, business models, and even cultures of the companies. DT projects provide a substantial value to the business competition and effect their market shares. In order to reach these results, digital transformation projects should be carefully analyzed and evaluated. In this p...

Third party logistics (3PL) supplier selection problem is a multi-criteria selection problem that is frequently discussed in the literature. Medicine is a fundamental element for human health and drug transportation must be carried out on time and under conditions that will ensure that the drug does not lose its physical properties. Therefore, the...

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...

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...

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...

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...

In this paper, the idea of maximum intuitionistic internally stable vertex subset of graph with fuzzy intuitionistic stability degree is considered. The notion of an internally stable set is introduced as some invariant of an intuitionistic fuzzy graph. Here an intuitionistic fuzzy graph is considered as a pair consisting of a crisp set of vertices...

Cloud Service Provider selection is a multi-criteria decision making problem involving many criteria, which some of them may be conflicting. Alternatives under these criteria are generally assessed by using linguistic terms such as very high, excellent and absolutely low, which includes vagueness and impreciseness. In this paper, the uncertainties...

Global warming is disturbing both the environment and quality of life. A cause of global warming is greenhouse gas (GHG) emissions which are caused by using fossil fuels for transportation and power generation. As a novel source of energy, the world is moving towards renewable and clean energy. In the transportation sector, usage of electric vehicl...

The Internet of Things (IoT) platform selection is one of the important steps that leads to digital transformation. The companies should consider multiple factors such as return of investment, the flexibility to change the IoT platform, the future performance, sustainability of the platform, the maturity level of IoT platform, security of the IT pl...

Z-numbers are expressed by a restriction function and a reliability function. In the literature, Z-numbers have been extended by intuitionistic fuzzy sets but not by other fuzzy sets. This paper extends Z-numbers by using single valued spherical fuzzy sets. Later, spherical fuzzy Z-numbers are used in the development of Z fuzzy AHP methods. These m...

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...

The Internet of Things (IoT) platform selection is one of the important steps that leads to digital transformation. The companies should consider multiple factors such as return of investment, the flexibility to change the IoT platform, the future performance, sustainability of the platform, the maturity level of IoT platform, security of the IT pl...

With the increasing sustainability concerns, energy production from waste has also come to the fore as well as recycling and reuse. Since there are various materials processed by waste to energy (WtE) plants and several types of equipment used in different processes, there are different sources of risks in these plants. It is important to determine...

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...

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...

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...

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...

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...

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...

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...

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...

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...

INFUS 2022 International Conference July 19-21, 2022 Izmir Turkey

International Conference on Intelligent and Fuzzy Systems 2022 July 19-21, 2022 Izmir Turkey

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...