Nimet Yapıcı Pehlivan

• PhD (Prof.Dr.)
• Professor at Selçuk University

Fuzzy sets have been applied to various decision-making problems when there is uncertainty in real-life problems. In decision-making problems, objective functions and constraints sometimes cannot be expressed linearly. In such cases, the problems discussed are expressed by nonlinear programming models. Fuzzy multi-objective programming models are p...

Parameter estimation of three parameter (3-p) Gamma distribution is very important as it is one of the most popular distributions used to model skewed data. Maximum Likelihood (ML) method based on finding estimators that maximize the likelihood function, is a well-known parameter estimation method. It is rather difficult to maximize the likelihood...

Cleaner production (CP) is defined as a preventive approach to managing the environmental effect of business processes and products. CP is also related to the use of less but more efficient energy and materials and the substitution of products harmful to the environment/health with less dangerous ones. The Hamacher Aggregation (HA) operator is an e...

Multi-criteria decision making (MCDM) is a process of evaluating and ranking the various alternatives with respect to the criteria using subjective judgments of decision maker(s). Since the classical MCDM methods cannot deal with imprecise and uncertain information in the decision-making process, MCDM methods based on Type-1 fuzzy sets are suggeste...

Sustainable supplier selection is one of the most important decisions for companies in sustainable supply chain management. Therefore, sustainable supplier performance evaluation and selection are of great importance in terms of economic, environmental, and social aspects of sustainable development. Sustainable supplier selection problem can be con...

Fuzzy set theory proposed by Zadeh is introduced to cope with the imprecision and uncertainty. Intuitionistic fuzzy sets (IFS) introduced by Atanassov are a generalization of fuzzy sets characterized by a membership function and a non-membership function. Various multi-criteria decision-making (MCDM) methods based on IFSs have been proposed. Global...

Three-parameter (3-p) Weibull distribution is commonly used in sciences such as engineering, reliability, and renewable energy. Thus, a great number of studies have been conducted on the estimation for the parameters of this distribution. One of the mostly utilized methods for estimating the unknown parameters of the Weibull distribution in the rel...

Interval-valued T-spherical fuzzy set (IVTSFS) handles uncertain and vague information by discussing their membership degree (MD), abstinence degree (AD), non-membership degree (NMD), and refusal degree (RD). MD, AD, NMD, and RD are defined in terms of closed subintervals of [0, 1] that reduce information loss compared to the T-spherical fuzzy set...

Possible structures of the system which is composed of various input and output variables are described by Fuzzy System Modeling(FSM). Traditional FSM approaches such as fuzzy rule-based systems and fuzzy regression functions have high ability to ensure approximating the real-world systems. Fuzzy Functions with Least squares Estimation(FF-LSE) is p...

Three-parameter (3-p) Gamma distribution is widely used to model for skewed data in the reliability field. Thus, the problem of parameter estimation for the Gamma distribution has remained significant and interesting in all times. The maximum likelihood (ML) and the least square (LS) are the most popular methods in the parameter estimation. In this...

Three-parameter (3-p) Weibull distribution is widely used to model failure distribution in reliability studies, and so the estimation of the parameters of this distribution is very crucial. The maximum likelihood (ML) method is the most popular method among parameter estimation methods. However, likelihood equations do not have explicit solutions f...

The Programme For International Student Assesment (PISA) is an international survey funded by the Organization of Economic Cooperation and Development (OECD). PISA survey is conducted every three years since 2000, to measure and evaluate the educational quality of students aged between 15 and 16. PISA survey is aimed to evaluate students' achieveme...

Player selection is an important process which takes technical, personal and ability attributes of players into account. Determination of optimal team for Turkish A National Football Team is quite important for Turkey’s ranking in the world among the other teams. When the decision makers’ judgments are under uncertainty, it is relatively difficult...

Fuzzy multi-criteria decision-making (MCDM) methods are useful and reliable for multi-criteria selection problems under uncertain and imprecise situations. In these methods, if decision-makers hesitate among several linguistic terms, hesitant fuzzy linguistic term sets (HFLTSs), represented by a set of successive linguistic terms instead of single...

Purpose This study aims to determine the ranking of the 81 provinces at the NUTS-3 level in Turkey with respect to the personal satisfaction and public services satisfaction by applying Fuzzy Multi-Criteria Decision-Making methods to the Life Satisfaction Survey Results. Design/methodology/approach Fuzzy TOPSIS, Fuzzy MULTIMOORA and Fuzzy ARAS are...

With the globalization of economy and development of technology, organizational strategy development in distribution channel management has become more significant for competitive business world. To improve distribution channel performance, many companies have focused on Multi-Criteria Decision Making (MCDM) methods. In the literature, there are a...

Type-2 fuzzy sets(T2FSs), characterized by a fuzzy membership function, aremuchusefultool forrepresentingthe decision knowledgein the decision makingprocess. Interval Type-2 fuzzy sets (IT2FSs) are themost commonlyused T2FSs. In this study, a method based upon ranking values of IT2FSsis usedto tacklemulti-criteria decision making (MCDM) problems. F...

Due to the differences between regions and sub-regions in the countries, some problems come out especially in economic and social life. The issue of differences of regions has been widely implemented to evaluate the economic performance of Turkey in many disciplines. The objective of this paper is to evaluate the efficiency of 26 sub-regions of NUT...

In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers’ needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC management, both competitive and collaborative s...

Green supply chain management (GSCM) is described as the combination of environmental thinking and supply chain management (SCM) encompassing product design, material sourcing and selection, manufacturing processes, delivery of the nal product to the consumer, and endof-life management of the product (Srivastava, 2007; Tseng and Chiu, 2013). Enviro...

Data Envelopment Analysis (DEA) is a nonparametric method based on Linear Programming model for measuring the efficiency of Decision Making Units (DMUs). Charnes, Cooper and Rhodes (1978) proposed the efficiency measurement of the DMUs for constant returns to scale (CRS). Later, Banker, Charnes, and Cooper (1984) introduced the variable returns to...

In this study, we introduced an integrated method based on SEM and FMCDM which consists of two phases. In the first phase, the relative weights of each criterion and related sub-criterion are computed through SEM. In the second phase, linguistic evaluations by the decision makers for the alternatives are made and ranking of the alternatives is cons...

In this study, we present an integrated method of Analytical Hierarchy Process based on interval type-2 fuzzy sets (IT2FAHP) and Technique for Order Performance by Similarity to Ideal Solution based on on interval type-2 fuzzy sets (IT2FTOPSIS).The applicability of the proposed integrated method was performed on a case study of evaluation of life q...

The concept of closed-loop supply chain (CLSC) has started to attract growing attention due to the consumer pressures, environmental awareness, and legislations. Managers in many companies have realized that a well-designed supply chain (SC) can improve the companies’ performance in the market. Thus, a lot of companies start to focus on CLSC issues...

OR 2016, the annual International Conference of the German Operations Research Society (GOR), took place in Hamburg, Germany from August 30 to September 2, 2016 (http://or2016.de). Organized by the Helmut-Schmidt-Universität / Univ. der Bundeswehr Hamburg, the conference hosted around 700 registered participants from about 40 countries. Practitione...

Multi criteria decision making (MCDM) methods are commonly used in ranking alternatives from a set of available alternatives with respect to conflict criteria. Recently, many MCDM methods such as AHP, ANP, TOPSIS, VIKOR, COPRAS, ELECTRE, PROMETHEE, MOORA and ARAS, have been proposed by several authors to solve MCDM problems. The well-being index (W...

In this study, fuzzy regression (FR) models with fuzzy inputs and outputs are discussed. Some of the FR methods based on linear programming and fuzzy least squares in the literature are explained. Within this study, we propose a Fuzzy Radial Basis Function (FRBF) Network to obtain the estimations for FR model in the case that inputs and outputs are...

The supply chain network design problem addresses various factors that maximize customers’ demand and minimizes the sum of strategic, tactical, and operational costs. Companies with common activities in their supply chains have started to cooperate with each other to achieve better service levels. Based on this initiative, a multi-level mixed-integ...

Increasing the environmental concerns with legislations and responsibilities are forcing enterprises to take an attention at the impact of their supply chain operations on the environment. An optimally designed supply chain network is required to provide economic, social and environmental requirements in good flows actualizing between suppliers, ma...

Reference: T. Paksoy, E. Özceylan, N. Yapici Pehlivan and G.-W. Weber, Particle swarm optimization approach for estimation of energy demand of Turkey, in the proceedings of PCO 2011 Dubai, the 5th Global Conference on Power Control and Optimization, Dubai, United Arab Emirates, June 1-3, 2011; ISBN: 983-44483-49.

This article proposes a novel mixed integer linear programming model for solving a fuzzy supply chain network (SCN) design problem. This problem includes fuzzy parameters, choosing suppliers according to their quality of raw materials, and the supplier's engagement contracts. There is a tradeoff between raw material quality, and its purchasing and...

Among the leading environmental risks, global climate alteration has become one of the most important controversial issues. Greenhouse gas emissions (CO2, methane, etc.) and air pollution have motivated a need to develop and improve environmental management strategies. As a consequence, environmental sanctions are forcing commercial enterprises to...

The aim of the study was to evaluate the ability of frequency doubling technology perimetry to detect altitudinal hemifield defects in cases of non-arteritic anterior ischaemic optic neuropathy. Thirty eyes of 24 cases of the disorder with typical altitudinal visual field defects underwent standard automated (Humphrey 24-2) and frequency doubling t...

Distribution channel management not only consists of choosing distribution channels. In fact, probably the most difficult phase of the distribution management starts after this choice. Determining an appropriate organization strategy for distribution channel management is like a problem of concern to marketing practitioners and academics as well in...

Supply chain management (SCM) is concerned with a complex business relations network that contains interrelationships between various entities, such as suppliers, manufacturers, distribution centers and customers. SCM integrates these entities and manages their interrelationships through the use of information technology to meet customer expectatio...

This study applies fuzzy sets to integrate the supply chain network of an edible vegetable oils manufacturer. The proposed fuzzy multi-objective linear programming model attempts to simultaneously minimize the total transportation costs. The first part of the total transportation costs is between suppliers and silos; and rest one is between manufac...

Outline: 1. Introduction, 2. Literature Review, 3. Particle Swarm Optimization (PSO), 4. PSO Energy Demand Estimation (EEPSO), 5. Estimation of Turkey Energy Demand: - Comparisons and Scenario Analyzes, 6. Conclusion and Future Search

This paper presented an application of Fuzzy mathematical programming model to solve network design problems for supply chains via considering aggregate production planning (APP). APP goals to minimize all costs through optimal levels of production, subcontracting, inventory, backorder and work levels over a time period to meet the demand. Fuzzy lo...

In this paper, we suggest two fuzzy estimators in nonparametric regression: fuzzy kernel regression (FNPR) estimator and fuzzy radial basis function (FRBF) networks. Both FNPR estimator and FRBF networks are applied to original data taken from an experiment. We obtain MSE values of the FNPR estimator and FRBF networks and then compare them. We show...

This work applies fuzzy sets to integrating the distribution problem of a multi product, multi tiered closed loop flexible supply chain network (involves suppliers, factories, warehouses, distribution centers, retailers, end customers and collection, recovery, recycling centers) under fuzzy material requirement constraints. The proposed fuzzy multi...

Portfolio selection is concerned with selecting a combination of securities among portfolios containing large numbers of securities to reach the goal of obtaining satisfactory investment return (Huang 2006). It is difficult to decide which securities should be selected because of the uncertainty on their returns. Modern portfolio theory started fro...

Linear Programming (LP) is to maximize or minimize an objective function subject to constraints. Fuzzy Linear Programming (FLP) is a model used in the case of uncertainty in LP. Actually, since the vagueness is an important phenomena in real situations and FLP model is an effective approach to this kind of problems. In recent years, the Artificial...